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Historyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/commits/master/code
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..https://github.com/justychen/TensorFlow_Engineering_Implementation/tree/master
10-1 deblurmodel.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/10-1%20%20deblurmodel.py
10-1 deblurmodel.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/10-1%20%20deblurmodel.py
10-10 prepro.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/10-10%20%20prepro.py
10-10 prepro.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/10-10%20%20prepro.py
10-11 train_a_sequence.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/10-11%20%20train_a_sequence.py
10-11 train_a_sequence.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/10-11%20%20train_a_sequence.py
10-12 train_model.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/10-12%20%20train_model.py
10-12 train_model.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/10-12%20%20train_model.py
10-2 训练deblur.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/10-2%20%20%E8%AE%AD%E7%BB%83deblur.py
10-2 训练deblur.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/10-2%20%20%E8%AE%AD%E7%BB%83deblur.py
10-3 使用deblur模型.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/10-3%20%20%E4%BD%BF%E7%94%A8deblur%E6%A8%A1%E5%9E%8B.py
10-3 使用deblur模型.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/10-3%20%20%E4%BD%BF%E7%94%A8deblur%E6%A8%A1%E5%9E%8B.py
10-4 mydataset.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/10-4%20%20mydataset.py
10-4 mydataset.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/10-4%20%20mydataset.py
10-5 AttGANmodels.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/10-5%20%20AttGANmodels.py
10-5 AttGANmodels.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/10-5%20%20AttGANmodels.py
10-6 trainattgan.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/10-6%20%20trainattgan.py
10-6 trainattgan.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/10-6%20%20trainattgan.py
10-7 testattgan.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/10-7%20%20testattgan.py
10-7 testattgan.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/10-7%20%20testattgan.py
10-8 RNNWGAN模型.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/10-8%20%20RNNWGAN%E6%A8%A1%E5%9E%8B.py
10-8 RNNWGAN模型.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/10-8%20%20RNNWGAN%E6%A8%A1%E5%9E%8B.py
10-9 mydataset.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/10-9%20%20mydataset.py
10-9 mydataset.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/10-9%20%20mydataset.py
11-1 用梯度下降方法攻击PNASNet模型.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/11-1%20%20%E7%94%A8%E6%A2%AF%E5%BA%A6%E4%B8%8B%E9%99%8D%E6%96%B9%E6%B3%95%E6%94%BB%E5%87%BBPNASNet%E6%A8%A1%E5%9E%8B.py
11-1 用梯度下降方法攻击PNASNet模型.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/11-1%20%20%E7%94%A8%E6%A2%AF%E5%BA%A6%E4%B8%8B%E9%99%8D%E6%96%B9%E6%B3%95%E6%94%BB%E5%87%BBPNASNet%E6%A8%A1%E5%9E%8B.py
11-2 用数据增强抗攻击.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/11-2%20%20%E7%94%A8%E6%95%B0%E6%8D%AE%E5%A2%9E%E5%BC%BA%E6%8A%97%E6%94%BB%E5%87%BB.py
11-2 用数据增强抗攻击.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/11-2%20%20%E7%94%A8%E6%95%B0%E6%8D%AE%E5%A2%9E%E5%BC%BA%E6%8A%97%E6%94%BB%E5%87%BB.py
11-3 制造更有鲁棒性的对抗样本.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/11-3%20%20%E5%88%B6%E9%80%A0%E6%9B%B4%E6%9C%89%E9%B2%81%E6%A3%92%E6%80%A7%E7%9A%84%E5%AF%B9%E6%8A%97%E6%A0%B7%E6%9C%AC.py
11-3 制造更有鲁棒性的对抗样本.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/11-3%20%20%E5%88%B6%E9%80%A0%E6%9B%B4%E6%9C%89%E9%B2%81%E6%A3%92%E6%80%A7%E7%9A%84%E5%AF%B9%E6%8A%97%E6%A0%B7%E6%9C%AC.py
11-4 mnist_blackbox.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/11-4%20%20mnist_blackbox.py
11-4 mnist_blackbox.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/11-4%20%20mnist_blackbox.py
12-1 在线性回归模型中添加指定节点到检查点文件.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/12-1%20%20%E5%9C%A8%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92%E6%A8%A1%E5%9E%8B%E4%B8%AD%E6%B7%BB%E5%8A%A0%E6%8C%87%E5%AE%9A%E8%8A%82%E7%82%B9%E5%88%B0%E6%A3%80%E6%9F%A5%E7%82%B9%E6%96%87%E4%BB%B6.py
12-1 在线性回归模型中添加指定节点到检查点文件.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/12-1%20%20%E5%9C%A8%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92%E6%A8%A1%E5%9E%8B%E4%B8%AD%E6%B7%BB%E5%8A%A0%E6%8C%87%E5%AE%9A%E8%8A%82%E7%82%B9%E5%88%B0%E6%A3%80%E6%9F%A5%E7%82%B9%E6%96%87%E4%BB%B6.py
12-2 使用源码分离方式二次训练.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/12-2%20%20%E4%BD%BF%E7%94%A8%E6%BA%90%E7%A0%81%E5%88%86%E7%A6%BB%E6%96%B9%E5%BC%8F%E4%BA%8C%E6%AC%A1%E8%AE%AD%E7%BB%83.py
12-2 使用源码分离方式二次训练.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/12-2%20%20%E4%BD%BF%E7%94%A8%E6%BA%90%E7%A0%81%E5%88%86%E7%A6%BB%E6%96%B9%E5%BC%8F%E4%BA%8C%E6%AC%A1%E8%AE%AD%E7%BB%83.py
12-3 使用源码分离方式二次训练-扩展.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/12-3%20%20%E4%BD%BF%E7%94%A8%E6%BA%90%E7%A0%81%E5%88%86%E7%A6%BB%E6%96%B9%E5%BC%8F%E4%BA%8C%E6%AC%A1%E8%AE%AD%E7%BB%83-%E6%89%A9%E5%B1%95.py
12-3 使用源码分离方式二次训练-扩展.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/12-3%20%20%E4%BD%BF%E7%94%A8%E6%BA%90%E7%A0%81%E5%88%86%E7%A6%BB%E6%96%B9%E5%BC%8F%E4%BA%8C%E6%AC%A1%E8%AE%AD%E7%BB%83-%E6%89%A9%E5%B1%95.py
12-4 将线性回归模型导出成为冻结图.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/12-4%20%20%E5%B0%86%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92%E6%A8%A1%E5%9E%8B%E5%AF%BC%E5%87%BA%E6%88%90%E4%B8%BA%E5%86%BB%E7%BB%93%E5%9B%BE.py
12-4 将线性回归模型导出成为冻结图.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/12-4%20%20%E5%B0%86%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92%E6%A8%A1%E5%9E%8B%E5%AF%BC%E5%87%BA%E6%88%90%E4%B8%BA%E5%86%BB%E7%BB%93%E5%9B%BE.py
12-5 导入冻结图并使用模型进行预测.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/12-5%20%20%E5%AF%BC%E5%85%A5%E5%86%BB%E7%BB%93%E5%9B%BE%E5%B9%B6%E4%BD%BF%E7%94%A8%E6%A8%A1%E5%9E%8B%E8%BF%9B%E8%A1%8C%E9%A2%84%E6%B5%8B.py
12-5 导入冻结图并使用模型进行预测.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/12-5%20%20%E5%AF%BC%E5%85%A5%E5%86%BB%E7%BB%93%E5%9B%BE%E5%B9%B6%E4%BD%BF%E7%94%A8%E6%A8%A1%E5%9E%8B%E8%BF%9B%E8%A1%8C%E9%A2%84%E6%B5%8B.py
12-6 用saved_model模块导出与导入模型文件.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/12-6%20%20%E7%94%A8saved_model%E6%A8%A1%E5%9D%97%E5%AF%BC%E5%87%BA%E4%B8%8E%E5%AF%BC%E5%85%A5%E6%A8%A1%E5%9E%8B%E6%96%87%E4%BB%B6.py
12-6 用saved_model模块导出与导入模型文件.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/12-6%20%20%E7%94%A8saved_model%E6%A8%A1%E5%9D%97%E5%AF%BC%E5%87%BA%E4%B8%8E%E5%AF%BC%E5%85%A5%E6%A8%A1%E5%9E%8B%E6%96%87%E4%BB%B6.py
12-7 使用saved_model生成与载入带签名的模型.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/12-7%20%20%E4%BD%BF%E7%94%A8saved_model%E7%94%9F%E6%88%90%E4%B8%8E%E8%BD%BD%E5%85%A5%E5%B8%A6%E7%AD%BE%E5%90%8D%E7%9A%84%E6%A8%A1%E5%9E%8B.py
12-7 使用saved_model生成与载入带签名的模型.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/12-7%20%20%E4%BD%BF%E7%94%A8saved_model%E7%94%9F%E6%88%90%E4%B8%8E%E8%BD%BD%E5%85%A5%E5%B8%A6%E7%AD%BE%E5%90%8D%E7%9A%84%E6%A8%A1%E5%9E%8B.py
12-8 TF-Hub模型例子.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/12-8%20%20TF-Hub%E6%A8%A1%E5%9E%8B%E4%BE%8B%E5%AD%90.py
12-8 TF-Hub模型例子.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/12-8%20%20TF-Hub%E6%A8%A1%E5%9E%8B%E4%BE%8B%E5%AD%90.py
12-9 将线性回归模型导出成为lite模型.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/12-9%20%20%E5%B0%86%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92%E6%A8%A1%E5%9E%8B%E5%AF%BC%E5%87%BA%E6%88%90%E4%B8%BAlite%E6%A8%A1%E5%9E%8B.py
12-9 将线性回归模型导出成为lite模型.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/12-9%20%20%E5%B0%86%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92%E6%A8%A1%E5%9E%8B%E5%AF%BC%E5%87%BA%E6%88%90%E4%B8%BAlite%E6%A8%A1%E5%9E%8B.py
13-1 支持远程调用的模型.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/13-1%20%20%E6%94%AF%E6%8C%81%E8%BF%9C%E7%A8%8B%E8%B0%83%E7%94%A8%E7%9A%84%E6%A8%A1%E5%9E%8B.py
13-1 支持远程调用的模型.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/13-1%20%20%E6%94%AF%E6%8C%81%E8%BF%9C%E7%A8%8B%E8%B0%83%E7%94%A8%E7%9A%84%E6%A8%A1%E5%9E%8B.py
13-2 grpc客户端.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/13-2%20%20grpc%E5%AE%A2%E6%88%B7%E7%AB%AF.py
13-2 grpc客户端.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/13-2%20%20grpc%E5%AE%A2%E6%88%B7%E7%AB%AF.py
13-3 CameraExampleAppDelegate.mhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/13-3%20CameraExampleAppDelegate.m
13-3 CameraExampleAppDelegate.mhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/13-3%20CameraExampleAppDelegate.m
13-4 Object_detection_usbcam.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/13-4%20Object_detection_usbcam.py
13-4 Object_detection_usbcam.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/13-4%20Object_detection_usbcam.py
3-1 使用AI模型来识别图像.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/3-1%20%20%E4%BD%BF%E7%94%A8AI%E6%A8%A1%E5%9E%8B%E6%9D%A5%E8%AF%86%E5%88%AB%E5%9B%BE%E5%83%8F.py
3-1 使用AI模型来识别图像.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/3-1%20%20%E4%BD%BF%E7%94%A8AI%E6%A8%A1%E5%9E%8B%E6%9D%A5%E8%AF%86%E5%88%AB%E5%9B%BE%E5%83%8F.py
3-2 使用nasnet-mobile模型来识别图像.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/3-2%20%20%E4%BD%BF%E7%94%A8nasnet-mobile%E6%A8%A1%E5%9E%8B%E6%9D%A5%E8%AF%86%E5%88%AB%E5%9B%BE%E5%83%8F.py
3-2 使用nasnet-mobile模型来识别图像.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/3-2%20%20%E4%BD%BF%E7%94%A8nasnet-mobile%E6%A8%A1%E5%9E%8B%E6%9D%A5%E8%AF%86%E5%88%AB%E5%9B%BE%E5%83%8F.py
4-1 将模拟数据制作成内存对象数据集.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/4-1%20%20%E5%B0%86%E6%A8%A1%E6%8B%9F%E6%95%B0%E6%8D%AE%E5%88%B6%E4%BD%9C%E6%88%90%E5%86%85%E5%AD%98%E5%AF%B9%E8%B1%A1%E6%95%B0%E6%8D%AE%E9%9B%86.py
4-1 将模拟数据制作成内存对象数据集.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/4-1%20%20%E5%B0%86%E6%A8%A1%E6%8B%9F%E6%95%B0%E6%8D%AE%E5%88%B6%E4%BD%9C%E6%88%90%E5%86%85%E5%AD%98%E5%AF%B9%E8%B1%A1%E6%95%B0%E6%8D%AE%E9%9B%86.py
4-10 将图片文件制作成Dataset数据集.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/4-10%20%20%E5%B0%86%E5%9B%BE%E7%89%87%E6%96%87%E4%BB%B6%E5%88%B6%E4%BD%9C%E6%88%90Dataset%E6%95%B0%E6%8D%AE%E9%9B%86.py
4-10 将图片文件制作成Dataset数据集.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/4-10%20%20%E5%B0%86%E5%9B%BE%E7%89%87%E6%96%87%E4%BB%B6%E5%88%B6%E4%BD%9C%E6%88%90Dataset%E6%95%B0%E6%8D%AE%E9%9B%86.py
4-11 将TFRecord文件制作成Dataset数据集.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/4-11%20%20%E5%B0%86TFRecord%E6%96%87%E4%BB%B6%E5%88%B6%E4%BD%9C%E6%88%90Dataset%E6%95%B0%E6%8D%AE%E9%9B%86.py
4-11 将TFRecord文件制作成Dataset数据集.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/4-11%20%20%E5%B0%86TFRecord%E6%96%87%E4%BB%B6%E5%88%B6%E4%BD%9C%E6%88%90Dataset%E6%95%B0%E6%8D%AE%E9%9B%86.py
4-12 在动态图里读取Dataset数据集.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/4-12%20%20%E5%9C%A8%E5%8A%A8%E6%80%81%E5%9B%BE%E9%87%8C%E8%AF%BB%E5%8F%96Dataset%E6%95%B0%E6%8D%AE%E9%9B%86.py
4-12 在动态图里读取Dataset数据集.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/4-12%20%20%E5%9C%A8%E5%8A%A8%E6%80%81%E5%9B%BE%E9%87%8C%E8%AF%BB%E5%8F%96Dataset%E6%95%B0%E6%8D%AE%E9%9B%86.py
4-13 在动态图里读取Dataset数据集_tf2版.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/4-13%20%20%E5%9C%A8%E5%8A%A8%E6%80%81%E5%9B%BE%E9%87%8C%E8%AF%BB%E5%8F%96Dataset%E6%95%B0%E6%8D%AE%E9%9B%86_tf2%E7%89%88.py
4-13 在动态图里读取Dataset数据集_tf2版.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/4-13%20%20%E5%9C%A8%E5%8A%A8%E6%80%81%E5%9B%BE%E9%87%8C%E8%AF%BB%E5%8F%96Dataset%E6%95%B0%E6%8D%AE%E9%9B%86_tf2%E7%89%88.py
4-14 在不同场景中应用数据集.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/4-14%20%20%E5%9C%A8%E4%B8%8D%E5%90%8C%E5%9C%BA%E6%99%AF%E4%B8%AD%E5%BA%94%E7%94%A8%E6%95%B0%E6%8D%AE%E9%9B%86.py
4-14 在不同场景中应用数据集.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/4-14%20%20%E5%9C%A8%E4%B8%8D%E5%90%8C%E5%9C%BA%E6%99%AF%E4%B8%AD%E5%BA%94%E7%94%A8%E6%95%B0%E6%8D%AE%E9%9B%86.py
4-2 带迭代的模拟数据集.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/4-2%20%20%E5%B8%A6%E8%BF%AD%E4%BB%A3%E7%9A%84%E6%A8%A1%E6%8B%9F%E6%95%B0%E6%8D%AE%E9%9B%86.py
4-2 带迭代的模拟数据集.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/4-2%20%20%E5%B8%A6%E8%BF%AD%E4%BB%A3%E7%9A%84%E6%A8%A1%E6%8B%9F%E6%95%B0%E6%8D%AE%E9%9B%86.py
4-3 将图片制作成内存对象数据集.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/4-3%20%20%E5%B0%86%E5%9B%BE%E7%89%87%E5%88%B6%E4%BD%9C%E6%88%90%E5%86%85%E5%AD%98%E5%AF%B9%E8%B1%A1%E6%95%B0%E6%8D%AE%E9%9B%86.py
4-3 将图片制作成内存对象数据集.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/4-3%20%20%E5%B0%86%E5%9B%BE%E7%89%87%E5%88%B6%E4%BD%9C%E6%88%90%E5%86%85%E5%AD%98%E5%AF%B9%E8%B1%A1%E6%95%B0%E6%8D%AE%E9%9B%86.py
4-4 将excel文件制作成内存对象数据集.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/4-4%20%20%E5%B0%86excel%E6%96%87%E4%BB%B6%E5%88%B6%E4%BD%9C%E6%88%90%E5%86%85%E5%AD%98%E5%AF%B9%E8%B1%A1%E6%95%B0%E6%8D%AE%E9%9B%86.py
4-4 将excel文件制作成内存对象数据集.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/4-4%20%20%E5%B0%86excel%E6%96%87%E4%BB%B6%E5%88%B6%E4%BD%9C%E6%88%90%E5%86%85%E5%AD%98%E5%AF%B9%E8%B1%A1%E6%95%B0%E6%8D%AE%E9%9B%86.py
4-5 将图片文件制作成tfRecord数据集.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/4-5%20%20%E5%B0%86%E5%9B%BE%E7%89%87%E6%96%87%E4%BB%B6%E5%88%B6%E4%BD%9C%E6%88%90tfRecord%E6%95%B0%E6%8D%AE%E9%9B%86.py
4-5 将图片文件制作成tfRecord数据集.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/4-5%20%20%E5%B0%86%E5%9B%BE%E7%89%87%E6%96%87%E4%BB%B6%E5%88%B6%E4%BD%9C%E6%88%90tfRecord%E6%95%B0%E6%8D%AE%E9%9B%86.py
4-6 interleave例子.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/4-6%20%20interleave%E4%BE%8B%E5%AD%90.py
4-6 interleave例子.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/4-6%20%20interleave%E4%BE%8B%E5%AD%90.py
4-7 Dataset对象的操作方法.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/4-7%20%20Dataset%E5%AF%B9%E8%B1%A1%E7%9A%84%E6%93%8D%E4%BD%9C%E6%96%B9%E6%B3%95.py
4-7 Dataset对象的操作方法.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/4-7%20%20Dataset%E5%AF%B9%E8%B1%A1%E7%9A%84%E6%93%8D%E4%BD%9C%E6%96%B9%E6%B3%95.py
4-8 将内存数据转成DataSet数据集.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/4-8%20%20%E5%B0%86%E5%86%85%E5%AD%98%E6%95%B0%E6%8D%AE%E8%BD%AC%E6%88%90DataSet%E6%95%B0%E6%8D%AE%E9%9B%86.py
4-8 将内存数据转成DataSet数据集.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/4-8%20%20%E5%B0%86%E5%86%85%E5%AD%98%E6%95%B0%E6%8D%AE%E8%BD%AC%E6%88%90DataSet%E6%95%B0%E6%8D%AE%E9%9B%86.py
4-9 from_tensor_slices的注意事项.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/4-9%20%20from_tensor_slices%E7%9A%84%E6%B3%A8%E6%84%8F%E4%BA%8B%E9%A1%B9.py
4-9 from_tensor_slices的注意事项.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/4-9%20%20from_tensor_slices%E7%9A%84%E6%B3%A8%E6%84%8F%E4%BA%8B%E9%A1%B9.py
5-1 mydataset.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/5-1%20%20mydataset.py
5-1 mydataset.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/5-1%20%20mydataset.py
5-2 model.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/5-2%20%20model.py
5-2 model.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/5-2%20%20model.py
5-3 train.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/5-3%20%20train.py
5-3 train.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/5-3%20%20train.py
5-4 test.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/5-4%20%20test.py
5-4 test.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/5-4%20%20test.py
5-5 测试TF-Hub库中的mobilenet_v2模型.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/5-5%20%20%E6%B5%8B%E8%AF%95TF-Hub%E5%BA%93%E4%B8%AD%E7%9A%84mobilenet_v2%E6%A8%A1%E5%9E%8B.py
5-5 测试TF-Hub库中的mobilenet_v2模型.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/5-5%20%20%E6%B5%8B%E8%AF%95TF-Hub%E5%BA%93%E4%B8%AD%E7%9A%84mobilenet_v2%E6%A8%A1%E5%9E%8B.py
5-6 使用模型评估人物的年龄.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/5-6%20%20%E4%BD%BF%E7%94%A8%E6%A8%A1%E5%9E%8B%E8%AF%84%E4%BC%B0%E4%BA%BA%E7%89%A9%E7%9A%84%E5%B9%B4%E9%BE%84.py
5-6 使用模型评估人物的年龄.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/5-6%20%20%E4%BD%BF%E7%94%A8%E6%A8%A1%E5%9E%8B%E8%AF%84%E4%BC%B0%E4%BA%BA%E7%89%A9%E7%9A%84%E5%B9%B4%E9%BE%84.py
6-1 使用静态图训练一个具有保存检查点功能的回归模型.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-1%20%20%E4%BD%BF%E7%94%A8%E9%9D%99%E6%80%81%E5%9B%BE%E8%AE%AD%E7%BB%83%E4%B8%80%E4%B8%AA%E5%85%B7%E6%9C%89%E4%BF%9D%E5%AD%98%E6%A3%80%E6%9F%A5%E7%82%B9%E5%8A%9F%E8%83%BD%E7%9A%84%E5%9B%9E%E5%BD%92%E6%A8%A1%E5%9E%8B.py
6-1 使用静态图训练一个具有保存检查点功能的回归模型.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-1%20%20%E4%BD%BF%E7%94%A8%E9%9D%99%E6%80%81%E5%9B%BE%E8%AE%AD%E7%BB%83%E4%B8%80%E4%B8%AA%E5%85%B7%E6%9C%89%E4%BF%9D%E5%AD%98%E6%A3%80%E6%9F%A5%E7%82%B9%E5%8A%9F%E8%83%BD%E7%9A%84%E5%9B%9E%E5%BD%92%E6%A8%A1%E5%9E%8B.py
6-10 tf_layers模型.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-10%20%20tf_layers%E6%A8%A1%E5%9E%8B.py
6-10 tf_layers模型.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-10%20%20tf_layers%E6%A8%A1%E5%9E%8B.py
6-11 keras回归模型.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-11%20%20keras%E5%9B%9E%E5%BD%92%E6%A8%A1%E5%9E%8B.py
6-11 keras回归模型.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-11%20%20keras%E5%9B%9E%E5%BD%92%E6%A8%A1%E5%9E%8B.py
6-12 使用tf.keras预训练模型.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-12%20%20%E4%BD%BF%E7%94%A8tf.keras%E9%A2%84%E8%AE%AD%E7%BB%83%E6%A8%A1%E5%9E%8B.py
6-12 使用tf.keras预训练模型.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-12%20%20%E4%BD%BF%E7%94%A8tf.keras%E9%A2%84%E8%AE%AD%E7%BB%83%E6%A8%A1%E5%9E%8B.py
6-13 在静态图中使用tf.keras.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-13%20%20%E5%9C%A8%E9%9D%99%E6%80%81%E5%9B%BE%E4%B8%AD%E4%BD%BF%E7%94%A8tf.keras.py
6-13 在静态图中使用tf.keras.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-13%20%20%E5%9C%A8%E9%9D%99%E6%80%81%E5%9B%BE%E4%B8%AD%E4%BD%BF%E7%94%A8tf.keras.py
6-14 tfjs回归例子.htmlhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-14%20%20tfjs%E5%9B%9E%E5%BD%92%E4%BE%8B%E5%AD%90.html
6-14 tfjs回归例子.htmlhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-14%20%20tfjs%E5%9B%9E%E5%BD%92%E4%BE%8B%E5%AD%90.html
6-15 使用估算器框架进行分布式训练.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-15%20%20%E4%BD%BF%E7%94%A8%E4%BC%B0%E7%AE%97%E5%99%A8%E6%A1%86%E6%9E%B6%E8%BF%9B%E8%A1%8C%E5%88%86%E5%B8%83%E5%BC%8F%E8%AE%AD%E7%BB%83.py
6-15 使用估算器框架进行分布式训练.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-15%20%20%E4%BD%BF%E7%94%A8%E4%BC%B0%E7%AE%97%E5%99%A8%E6%A1%86%E6%9E%B6%E8%BF%9B%E8%A1%8C%E5%88%86%E5%B8%83%E5%BC%8F%E8%AE%AD%E7%BB%83.py
6-16 使用估算器框架进行分布式训练ps.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-16%20%20%E4%BD%BF%E7%94%A8%E4%BC%B0%E7%AE%97%E5%99%A8%E6%A1%86%E6%9E%B6%E8%BF%9B%E8%A1%8C%E5%88%86%E5%B8%83%E5%BC%8F%E8%AE%AD%E7%BB%83ps.py
6-16 使用估算器框架进行分布式训练ps.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-16%20%20%E4%BD%BF%E7%94%A8%E4%BC%B0%E7%AE%97%E5%99%A8%E6%A1%86%E6%9E%B6%E8%BF%9B%E8%A1%8C%E5%88%86%E5%B8%83%E5%BC%8F%E8%AE%AD%E7%BB%83ps.py
6-17 使用估算器框架进行分布式训练chief.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-17%20%20%E4%BD%BF%E7%94%A8%E4%BC%B0%E7%AE%97%E5%99%A8%E6%A1%86%E6%9E%B6%E8%BF%9B%E8%A1%8C%E5%88%86%E5%B8%83%E5%BC%8F%E8%AE%AD%E7%BB%83chief.py
6-17 使用估算器框架进行分布式训练chief.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-17%20%20%E4%BD%BF%E7%94%A8%E4%BC%B0%E7%AE%97%E5%99%A8%E6%A1%86%E6%9E%B6%E8%BF%9B%E8%A1%8C%E5%88%86%E5%B8%83%E5%BC%8F%E8%AE%AD%E7%BB%83chief.py
6-18 使用估算器框架进行分布式训练work.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-18%20%20%E4%BD%BF%E7%94%A8%E4%BC%B0%E7%AE%97%E5%99%A8%E6%A1%86%E6%9E%B6%E8%BF%9B%E8%A1%8C%E5%88%86%E5%B8%83%E5%BC%8F%E8%AE%AD%E7%BB%83work.py
6-18 使用估算器框架进行分布式训练work.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-18%20%20%E4%BD%BF%E7%94%A8%E4%BC%B0%E7%AE%97%E5%99%A8%E6%A1%86%E6%9E%B6%E8%BF%9B%E8%A1%8C%E5%88%86%E5%B8%83%E5%BC%8F%E8%AE%AD%E7%BB%83work.py
6-19 用ResNet识别桔子和苹果.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-19%20%20%E7%94%A8ResNet%E8%AF%86%E5%88%AB%E6%A1%94%E5%AD%90%E5%92%8C%E8%8B%B9%E6%9E%9C.py
6-19 用ResNet识别桔子和苹果.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-19%20%20%E7%94%A8ResNet%E8%AF%86%E5%88%AB%E6%A1%94%E5%AD%90%E5%92%8C%E8%8B%B9%E6%9E%9C.py
6-2 使用动态图训练一个具有保存检查点功能的回归模型.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-2%20%20%E4%BD%BF%E7%94%A8%E5%8A%A8%E6%80%81%E5%9B%BE%E8%AE%AD%E7%BB%83%E4%B8%80%E4%B8%AA%E5%85%B7%E6%9C%89%E4%BF%9D%E5%AD%98%E6%A3%80%E6%9F%A5%E7%82%B9%E5%8A%9F%E8%83%BD%E7%9A%84%E5%9B%9E%E5%BD%92%E6%A8%A1%E5%9E%8B.py
6-2 使用动态图训练一个具有保存检查点功能的回归模型.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-2%20%20%E4%BD%BF%E7%94%A8%E5%8A%A8%E6%80%81%E5%9B%BE%E8%AE%AD%E7%BB%83%E4%B8%80%E4%B8%AA%E5%85%B7%E6%9C%89%E4%BF%9D%E5%AD%98%E6%A3%80%E6%9F%A5%E7%82%B9%E5%8A%9F%E8%83%BD%E7%9A%84%E5%9B%9E%E5%BD%92%E6%A8%A1%E5%9E%8B.py
6-20 在T2T框架中训练mnist.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-20%20%20%E5%9C%A8T2T%E6%A1%86%E6%9E%B6%E4%B8%AD%E8%AE%AD%E7%BB%83mnist.py
6-20 在T2T框架中训练mnist.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-20%20%20%E5%9C%A8T2T%E6%A1%86%E6%9E%B6%E4%B8%AD%E8%AE%AD%E7%BB%83mnist.py
6-21 查看T2T模型及超参.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-21%20%20%E6%9F%A5%E7%9C%8BT2T%E6%A8%A1%E5%9E%8B%E5%8F%8A%E8%B6%85%E5%8F%82.py
6-21 查看T2T模型及超参.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-21%20%20%E6%9F%A5%E7%9C%8BT2T%E6%A8%A1%E5%9E%8B%E5%8F%8A%E8%B6%85%E5%8F%82.py
6-22__tf2code.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-22__tf2code.py
6-22__tf2code.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-22__tf2code.py
6-3 动态图另一种梯度方法.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-3%20%20%E5%8A%A8%E6%80%81%E5%9B%BE%E5%8F%A6%E4%B8%80%E7%A7%8D%E6%A2%AF%E5%BA%A6%E6%96%B9%E6%B3%95.py
6-3 动态图另一种梯度方法.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-3%20%20%E5%8A%A8%E6%80%81%E5%9B%BE%E5%8F%A6%E4%B8%80%E7%A7%8D%E6%A2%AF%E5%BA%A6%E6%96%B9%E6%B3%95.py
6-4 从动态图种获取变量.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-4%20%20%E4%BB%8E%E5%8A%A8%E6%80%81%E5%9B%BE%E7%A7%8D%E8%8E%B7%E5%8F%96%E5%8F%98%E9%87%8F.py
6-4 从动态图种获取变量.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-4%20%20%E4%BB%8E%E5%8A%A8%E6%80%81%E5%9B%BE%E7%A7%8D%E8%8E%B7%E5%8F%96%E5%8F%98%E9%87%8F.py
6-5 静态图中使用动态图.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-5%20%20%E9%9D%99%E6%80%81%E5%9B%BE%E4%B8%AD%E4%BD%BF%E7%94%A8%E5%8A%A8%E6%80%81%E5%9B%BE.py
6-5 静态图中使用动态图.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-5%20%20%E9%9D%99%E6%80%81%E5%9B%BE%E4%B8%AD%E4%BD%BF%E7%94%A8%E5%8A%A8%E6%80%81%E5%9B%BE.py
6-6 使用估算器框架训练一个回归模型.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-6%20%20%E4%BD%BF%E7%94%A8%E4%BC%B0%E7%AE%97%E5%99%A8%E6%A1%86%E6%9E%B6%E8%AE%AD%E7%BB%83%E4%B8%80%E4%B8%AA%E5%9B%9E%E5%BD%92%E6%A8%A1%E5%9E%8B.py
6-6 使用估算器框架训练一个回归模型.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-6%20%20%E4%BD%BF%E7%94%A8%E4%BC%B0%E7%AE%97%E5%99%A8%E6%A1%86%E6%9E%B6%E8%AE%AD%E7%BB%83%E4%B8%80%E4%B8%AA%E5%9B%9E%E5%BD%92%E6%A8%A1%E5%9E%8B.py
6-7 为估算器添加钩子.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-7%20%20%E4%B8%BA%E4%BC%B0%E7%AE%97%E5%99%A8%E6%B7%BB%E5%8A%A0%E9%92%A9%E5%AD%90.py
6-7 为估算器添加钩子.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-7%20%20%E4%B8%BA%E4%BC%B0%E7%AE%97%E5%99%A8%E6%B7%BB%E5%8A%A0%E9%92%A9%E5%AD%90.py
6-8 自定义hook.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-8%20%20%E8%87%AA%E5%AE%9A%E4%B9%89hook.py
6-8 自定义hook.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-8%20%20%E8%87%AA%E5%AE%9A%E4%B9%89hook.py
6-9 将估算器模型转为静态图模型.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-9%20%20%E5%B0%86%E4%BC%B0%E7%AE%97%E5%99%A8%E6%A8%A1%E5%9E%8B%E8%BD%AC%E4%B8%BA%E9%9D%99%E6%80%81%E5%9B%BE%E6%A8%A1%E5%9E%8B.py
6-9 将估算器模型转为静态图模型.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/6-9%20%20%E5%B0%86%E4%BC%B0%E7%AE%97%E5%99%A8%E6%A8%A1%E5%9E%8B%E8%BD%AC%E4%B8%BA%E9%9D%99%E6%80%81%E5%9B%BE%E6%A8%A1%E5%9E%8B.py
7-1 用wide and deep模型预测人口收入.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/7-1%20%20%E7%94%A8wide%20and%20deep%E6%A8%A1%E5%9E%8B%E9%A2%84%E6%B5%8B%E4%BA%BA%E5%8F%A3%E6%94%B6%E5%85%A5.py
7-1 用wide and deep模型预测人口收入.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/7-1%20%20%E7%94%A8wide%20and%20deep%E6%A8%A1%E5%9E%8B%E9%A2%84%E6%B5%8B%E4%BA%BA%E5%8F%A3%E6%94%B6%E5%85%A5.py
7-10 电影推荐系统.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/7-10%20%20%E7%94%B5%E5%BD%B1%E6%8E%A8%E8%8D%90%E7%B3%BB%E7%BB%9F.py
7-10 电影推荐系统.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/7-10%20%20%E7%94%B5%E5%BD%B1%E6%8E%A8%E8%8D%90%E7%B3%BB%E7%BB%9F.py
7-11 用lattice预测收入.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/7-11%20%20%E7%94%A8lattice%E9%A2%84%E6%B5%8B%E6%94%B6%E5%85%A5.py
7-11 用lattice预测收入.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/7-11%20%20%E7%94%A8lattice%E9%A2%84%E6%B5%8B%E6%94%B6%E5%85%A5.py
7-12 lattice结合dnn.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/7-12%20%20lattice%E7%BB%93%E5%90%88dnn.py
7-12 lattice结合dnn.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/7-12%20%20lattice%E7%BB%93%E5%90%88dnn.py
7-13 preprocess.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/7-13%20%20preprocess.py
7-13 preprocess.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/7-13%20%20preprocess.py
7-14 MKR.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/7-14%20%20MKR.py
7-14 MKR.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/7-14%20%20MKR.py
7-15 train.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/7-15%20%20train.py
7-15 train.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/7-15%20%20train.py
7-16 data_loader.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/7-16%20%20data_loader.py
7-16 data_loader.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/7-16%20%20data_loader.py
7-2 用boosted_trees模型预测人口收入.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/7-2%20%20%E7%94%A8boosted_trees%E6%A8%A1%E5%9E%8B%E9%A2%84%E6%B5%8B%E4%BA%BA%E5%8F%A3%E6%94%B6%E5%85%A5.py
7-2 用boosted_trees模型预测人口收入.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/7-2%20%20%E7%94%A8boosted_trees%E6%A8%A1%E5%9E%8B%E9%A2%84%E6%B5%8B%E4%BA%BA%E5%8F%A3%E6%94%B6%E5%85%A5.py
7-3 使用feature_column处理连续值特征列.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/7-3%20%20%E4%BD%BF%E7%94%A8feature_column%E5%A4%84%E7%90%86%E8%BF%9E%E7%BB%AD%E5%80%BC%E7%89%B9%E5%BE%81%E5%88%97.py
7-3 使用feature_column处理连续值特征列.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/7-3%20%20%E4%BD%BF%E7%94%A8feature_column%E5%A4%84%E7%90%86%E8%BF%9E%E7%BB%AD%E5%80%BC%E7%89%B9%E5%BE%81%E5%88%97.py
7-4 将连续值特征转成离散值特征.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/7-4%20%20%E5%B0%86%E8%BF%9E%E7%BB%AD%E5%80%BC%E7%89%B9%E5%BE%81%E8%BD%AC%E6%88%90%E7%A6%BB%E6%95%A3%E5%80%BC%E7%89%B9%E5%BE%81.py
7-4 将连续值特征转成离散值特征.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/7-4%20%20%E5%B0%86%E8%BF%9E%E7%BB%AD%E5%80%BC%E7%89%B9%E5%BE%81%E8%BD%AC%E6%88%90%E7%A6%BB%E6%95%A3%E5%80%BC%E7%89%B9%E5%BE%81.py
7-5 将离散文本特征列转化为one-hot编码与词向量.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/7-5%20%20%E5%B0%86%E7%A6%BB%E6%95%A3%E6%96%87%E6%9C%AC%E7%89%B9%E5%BE%81%E5%88%97%E8%BD%AC%E5%8C%96%E4%B8%BAone-hot%E7%BC%96%E7%A0%81%E4%B8%8E%E8%AF%8D%E5%90%91%E9%87%8F.py
7-5 将离散文本特征列转化为one-hot编码与词向量.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/7-5%20%20%E5%B0%86%E7%A6%BB%E6%95%A3%E6%96%87%E6%9C%AC%E7%89%B9%E5%BE%81%E5%88%97%E8%BD%AC%E5%8C%96%E4%B8%BAone-hot%E7%BC%96%E7%A0%81%E4%B8%8E%E8%AF%8D%E5%90%91%E9%87%8F.py
7-6 根据特征列生成交叉列.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/7-6%20%20%E6%A0%B9%E6%8D%AE%E7%89%B9%E5%BE%81%E5%88%97%E7%94%9F%E6%88%90%E4%BA%A4%E5%8F%89%E5%88%97.py
7-6 根据特征列生成交叉列.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/7-6%20%20%E6%A0%B9%E6%8D%AE%E7%89%B9%E5%BE%81%E5%88%97%E7%94%9F%E6%88%90%E4%BA%A4%E5%8F%89%E5%88%97.py
7-7 序列特征工程.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/7-7%20%20%E5%BA%8F%E5%88%97%E7%89%B9%E5%BE%81%E5%B7%A5%E7%A8%8B.py
7-7 序列特征工程.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/7-7%20%20%E5%BA%8F%E5%88%97%E7%89%B9%E5%BE%81%E5%B7%A5%E7%A8%8B.py
7-8 聚类COCO数据集中的标注框.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/7-8%20%20%E8%81%9A%E7%B1%BBCOCO%E6%95%B0%E6%8D%AE%E9%9B%86%E4%B8%AD%E7%9A%84%E6%A0%87%E6%B3%A8%E6%A1%86.py
7-8 聚类COCO数据集中的标注框.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/7-8%20%20%E8%81%9A%E7%B1%BBCOCO%E6%95%B0%E6%8D%AE%E9%9B%86%E4%B8%AD%E7%9A%84%E6%A0%87%E6%B3%A8%E6%A1%86.py
7-9 mnistkmeans.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/7-9%20%20mnistkmeans.py
7-9 mnistkmeans.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/7-9%20%20mnistkmeans.py
8-1 读取fasion-mnist 数据集.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/8-1%20%20%E8%AF%BB%E5%8F%96fasion-mnist%20%E6%95%B0%E6%8D%AE%E9%9B%86.py
8-1 读取fasion-mnist 数据集.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/8-1%20%20%E8%AF%BB%E5%8F%96fasion-mnist%20%E6%95%B0%E6%8D%AE%E9%9B%86.py
8-10 keras注意力机制模型.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/8-10%20%20keras%E6%B3%A8%E6%84%8F%E5%8A%9B%E6%9C%BA%E5%88%B6%E6%A8%A1%E5%9E%8B.py
8-10 keras注意力机制模型.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/8-10%20%20keras%E6%B3%A8%E6%84%8F%E5%8A%9B%E6%9C%BA%E5%88%B6%E6%A8%A1%E5%9E%8B.py
8-11 yolo_v3.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/8-11%20%20yolo_v3.py
8-11 yolo_v3.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/8-11%20%20yolo_v3.py
8-12 使用YOLOV3模型进行实物检测.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/8-12%20%20%E4%BD%BF%E7%94%A8YOLOV3%E6%A8%A1%E5%9E%8B%E8%BF%9B%E8%A1%8C%E5%AE%9E%E7%89%A9%E6%A3%80%E6%B5%8B.py
8-12 使用YOLOV3模型进行实物检测.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/8-12%20%20%E4%BD%BF%E7%94%A8YOLOV3%E6%A8%A1%E5%9E%8B%E8%BF%9B%E8%A1%8C%E5%AE%9E%E7%89%A9%E6%A3%80%E6%B5%8B.py
8-13 annotation.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/8-13%20%20annotation.py
8-13 annotation.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/8-13%20%20annotation.py
8-14 generator.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/8-14%20%20generator.py
8-14 generator.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/8-14%20%20generator.py
8-15 box.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/8-15%20%20box.py
8-15 box.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/8-15%20%20box.py
8-16 darknet53.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/8-16%20%20darknet53.py
8-16 darknet53.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/8-16%20%20darknet53.py
8-17 yolohead.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/8-17%20%20yolohead.py
8-17 yolohead.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/8-17%20%20yolohead.py
8-18 yolov3.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/8-18%20%20yolov3.py
8-18 yolov3.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/8-18%20%20yolov3.py
8-19 weights.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/8-19%20%20weights.py
8-19 weights.pyhttps://github.com/justychen/TensorFlow_Engineering_Implementation/blob/master/code/8-19%20%20weights.py
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