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Title: GitHub - smartxcat/DeepLearningCourseCodes: Notes, Codes, and Tutorials for the Deep Learning Course at ChinaHadoop

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Description: Notes, Codes, and Tutorials for the Deep Learning Course at ChinaHadoop - smartxcat/DeepLearningCourseCodes

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Apache-2.0 license	https://patch-diff.githubusercontent.com/smartxcat/DeepLearningCourseCodes
	https://patch-diff.githubusercontent.com/smartxcat/DeepLearningCourseCodes#deep-learning-course-codes
Stanford CS229 Machine Learning, Fall 2017	http://cs229.stanford.edu/
Deep Learning Book读书笔记	https://github.com/exacity/simplified-deeplearning.git
Hands-on Machine Learning with Scikit-Learn and TensorFlow	https://github.com/ageron/handson-ml
book	https://www.amazon.com/_/dp/1491962291?tag=oreilly20-20
Effective TensorFlow	https://github.com/vahidk/EffectiveTensorflow
Finch	https://github.com/zhedongzheng/finch
Pytorch Tutorials	https://github.com/yunjey/pytorch-tutorial
MXNet the straight dope	https://github.com/zackchase/mxnet-the-straight-dope
	https://patch-diff.githubusercontent.com/smartxcat/DeepLearningCourseCodes#第一讲深度学习课程总览与神经网络入门
TensorFlow基础与线性回归模型	https://github.com/jastarex/DeepLearningCourseCodes/tree/master/01_TF_basics_and_linear_regression
MNIST数据集演示	https://github.com/jastarex/DeepLearningCourseCodes/blob/master/01_TF_basics_and_linear_regression/mnist_data_introduction_tf.ipynb
TensorFlow基础	https://github.com/jastarex/DeepLearningCourseCodes/blob/master/01_TF_basics_and_linear_regression/tensorflow_basic.ipynb
线性回归模型-TensorFlow	https://github.com/jastarex/DeepLearningCourseCodes/blob/master/01_TF_basics_and_linear_regression/linear_regression_tf.ipynb
线性回归模型-PyTorch	https://github.com/jastarex/DeepLearningCourseCodes/blob/master/01_TF_basics_and_linear_regression/linear_regression_pt.ipynb
线性回归模型-MXNet	https://github.com/jastarex/DeepLearningCourseCodes/blob/master/01_TF_basics_and_linear_regression/linear_regression_mx.ipynb
LinkHS	https://github.com/LinkHS
	https://patch-diff.githubusercontent.com/smartxcat/DeepLearningCourseCodes#第二讲传统神经网络
K近邻算法，线性分类，以及多层神经网络	https://github.com/jastarex/DeepLearningCourseCodes/tree/master/02_Logistic_regression_and_multilayer_perceptron
K近邻算法在图像分类上的应用-TensorFlow	https://github.com/jastarex/DeepLearningCourseCodes/blob/master/02_Logistic_regression_and_multilayer_perceptron/nearest_neighbor_tf.ipynb
K近邻算法在图像分类上的应用-PyTorch	https://github.com/jastarex/DeepLearningCourseCodes/blob/master/02_Logistic_regression_and_multilayer_perceptron/nearest_neighbor_pt.ipynb
多层神经网络示例-TensorFlow	https://github.com/jastarex/DeepLearningCourseCodes/blob/master/02_Logistic_regression_and_multilayer_perceptron/neural_network_tf.ipynb
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	https://patch-diff.githubusercontent.com/smartxcat/DeepLearningCourseCodes#第三讲卷积神经网络基础
卷积神经网络的基础实现	https://github.com/jastarex/DeepLearningCourseCodes/tree/master/03_CNN_basics
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	https://patch-diff.githubusercontent.com/smartxcat/DeepLearningCourseCodes#第四讲卷积神经网络进阶
卷积神经网络的进阶实现	https://github.com/jastarex/DeepLearningCourseCodes/tree/master/04_CNN_advances
卷积神经网络进阶示例与可视化	https://github.com/jastarex/DeepLearningCourseCodes/blob/master/04_CNN_advances/cnn_mnist_simple.ipynb
卷积神经网络进阶示例-TF-Slim实现	https://github.com/jastarex/DeepLearningCourseCodes/blob/master/04_CNN_advances/cnn_mnist_modern.ipynb
准备自定义数据集训练卷积神经网络	https://github.com/jastarex/DeepLearningCourseCodes/blob/master/04_CNN_advances/basic_gendataset.ipynb
使用自定义数据集训练卷积神经网络	https://github.com/jastarex/DeepLearningCourseCodes/blob/master/04_CNN_advances/cnn_custom_simple.ipynb
使用训练好的VGG网络模型	https://github.com/jastarex/DeepLearningCourseCodes/blob/master/04_CNN_advances/use_vgg.ipynb
使用自定义数据集训练VGG网络模型	https://github.com/jastarex/DeepLearningCourseCodes/blob/master/04_CNN_advances/use_vgg_finetune.ipynb
基于TensorBoard的CNN可视化	https://github.com/jastarex/DeepLearningCourseCodes/blob/master/04_CNN_advances/vis_cnn_mnist.ipynb
更多基于TF-Slim的预训练模型	https://github.com/tensorflow/models/tree/master/research/slim#pre-trained-models
	https://patch-diff.githubusercontent.com/smartxcat/DeepLearningCourseCodes#第五讲深度神经网络目标分类与识别
深度神经网络-图像识别与分类	https://github.com/jastarex/DeepLearningCourseCodes/tree/master/05_Image_recognition_and_classification
TensorLayer	https://github.com/zsdonghao/tensorlayer
此处	https://tensorlayercn.readthedocs.io/zh/latest/
TF-Slim	http://tensorlayercn.readthedocs.io/zh/latest/modules/layers.html#tf-slim
Keras	http://tensorlayercn.readthedocs.io/zh/latest/modules/layers.html#keras
OpenCV	http://opencv.org/
微云	https://share.weiyun.com/7d008fcb693823503155acfc2be6ad2b
百度云	https://pan.baidu.com/s/1qYDhN5M
微云	https://share.weiyun.com/9fe52101fad44dadd4385d1f3d1e5804
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图像识别与分类示例教程	https://github.com/jastarex/DeepLearningCourseCodes/blob/master/05_Image_recognition_and_classification/cnn.ipynb
VGG19图像分类模型-TensorLayer实现	https://github.com/jastarex/DeepLearningCourseCodes/blob/master/05_Image_recognition_and_classification/vgg19.ipynb
InceptionV3图像分类模型-TensorLayer结合TF-SLim实现	https://github.com/jastarex/DeepLearningCourseCodes/blob/master/05_Image_recognition_and_classification/inceptionV3_tfslim.ipynb
Wide-ResNet网络模型-TensorLayer实现	https://github.com/jastarex/DeepLearningCourseCodes/blob/master/05_Image_recognition_and_classification/wide_resnet_cifar.ipynb
Class Activation Mapping (CAM)示例	https://github.com/jastarex/DeepLearningCourseCodes/blob/master/05_Image_recognition_and_classification/pytorch_CAM.py
此处	https://github.com/metalbubble/CAM
	https://patch-diff.githubusercontent.com/smartxcat/DeepLearningCourseCodes#第六讲深度神经网络目标检测与定位
目标检测模型示例	https://github.com/jastarex/DeepLearningCourseCodes/tree/master/01_TF_basics_and_linear_regression
TensorFlow Object Detection API使用示例	https://github.com/jastarex/DeepLearningCourseCodes/tree/master/06_Object_detection/Object_Detection_Tensorflow_API_demo
微云	https://share.weiyun.com/800e541b4403b07fb460fc017c77dc20
TensorFlow实现	https://github.com/balancap/SSD-Tensorflow
PyTorch实现	https://github.com/amdegroot/ssd.pytorch
TensorFlow实现	https://github.com/ruiminshen/yolo-tf
PyTorch实现	https://github.com/marvis/pytorch-yolo2
	https://patch-diff.githubusercontent.com/smartxcat/DeepLearningCourseCodes#第七讲深度神经网络目标追踪与目标分割
目标追踪与目标分割	https://github.com/jastarex/DeepLearningCourseCodes/tree/master/07_Object_tracking_and_object_segmentation
TensorFlow实现	https://github.com/tangyuhao/GOTURN-Tensorflow
Plain Python实现	https://github.com/nrupatunga/PY-GOTURN
Original C++实现	https://github.com/davheld/GOTURN
TensorFlow实现	https://github.com/shekkizh/FCN.tensorflow
PyTorch实现	https://github.com/wkentaro/pytorch-fcn
TensorFlow实现	https://github.com/CharlesShang/FastMaskRCNN
PyTorch实现	https://github.com/felixgwu/mask_rcnn_pytorch
	https://patch-diff.githubusercontent.com/smartxcat/DeepLearningCourseCodes#第八讲循环神经网络与序列模型
循环神经网络	https://github.com/jastarex/DeepLearningCourseCodes/tree/master/08_RNN_and_Seq2Seq
TensorFlow	https://github.com/jastarex/DeepLearningCourseCodes/blob/master/08_RNN_and_Seq2Seq/rnn_tf.ipynb
Pytorch	https://github.com/jastarex/DeepLearningCourseCodes/blob/master/08_RNN_and_Seq2Seq/rnn_pytorch.py
TensorFlow	https://github.com/jastarex/DeepLearningCourseCodes/blob/master/08_RNN_and_Seq2Seq/bidirectional_rnn_tf.ipynb
Pytorch	https://github.com/jastarex/DeepLearningCourseCodes/blob/master/08_RNN_and_Seq2Seq/bidirection_rnn_pytorch.py
TensorFlow	https://github.com/jastarex/DeepLearningCourseCodes/blob/master/08_RNN_and_Seq2Seq/dynamic_rnn_tf.ipynb
TensorFlow	https://github.com/jastarex/DeepLearningCourseCodes/blob/master/08_RNN_and_Seq2Seq/autoencoder_tf.ipynb
TensorFlow	https://github.com/jastarex/DeepLearningCourseCodes/blob/master/08_RNN_and_Seq2Seq/variational_autoencoder_tf.ipynb
TensorFlow	https://github.com/zsdonghao/Image-Captioning
PyTorch	https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/03-advanced/image_captioning
TensorFlow	https://github.com/chenxinpeng/S2VT
	https://patch-diff.githubusercontent.com/smartxcat/DeepLearningCourseCodes#第九讲无监督式学习与生成对抗网络
生成对抗网络	https://github.com/jastarex/DeepLearningCourseCodes/tree/master/09_Unsupervised_learning_and_GANs
TensorFlow	https://github.com/jastarex/DeepLearningCourseCodes/blob/master/09_Unsupervised_learning_and_GANs/gan.ipynb
PyTorch	https://github.com/jastarex/DeepLearningCourseCodes/blob/master/09_Unsupervised_learning_and_GANs/gan_pytorch.py
TensorFlow	https://github.com/jastarex/DeepLearningCourseCodes/blob/master/09_Unsupervised_learning_and_GANs/dcgan.ipynb
PyTorch	https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix
TensorFlow, PyTorch	https://github.com/hanzhanggit/StackGAN
1	https://github.com/wiseodd/generative-models
2	https://github.com/hwalsuklee/tensorflow-generative-model-collections
3	https://github.com/znxlwm/pytorch-generative-model-collections
	https://patch-diff.githubusercontent.com/smartxcat/DeepLearningCourseCodes#第十讲强化学习
basic_reinforcement_learning	https://github.com/vmayoral/basic_reinforcement_learning
applied-reinforcement-learning	https://github.com/mimoralea/applied-reinforcement-learning
oreilly-rl-tutorial	https://github.com/awjuliani/oreilly-rl-tutorial
Readme	https://patch-diff.githubusercontent.com/smartxcat/DeepLearningCourseCodes#readme-ov-file
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