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Title: GitHub - aiedward/DeepLearningTutorials-1: Deep Learning与PyTorch入门实战视频教程

Open Graph Title: GitHub - aiedward/DeepLearningTutorials-1: Deep Learning与PyTorch入门实战视频教程

X Title: GitHub - aiedward/DeepLearningTutorials-1: Deep Learning与PyTorch入门实战视频教程

Description: Deep Learning与PyTorch入门实战视频教程. Contribute to aiedward/DeepLearningTutorials-1 development by creating an account on GitHub.

Open Graph Description: Deep Learning与PyTorch入门实战视频教程. Contribute to aiedward/DeepLearningTutorials-1 development by creating an account on GitHub.

X Description: Deep Learning与PyTorch入门实战视频教程. Contribute to aiedward/DeepLearningTutorials-1 development by creating an account on GitHub.

Opengraph URL: https://github.com/aiedward/DeepLearningTutorials-1

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lesson28-激活函数与GPU加速https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson28-%E6%BF%80%E6%B4%BB%E5%87%BD%E6%95%B0%E4%B8%8EGPU%E5%8A%A0%E9%80%9F
lesson29-MNIST测试https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson29-MNIST%E6%B5%8B%E8%AF%95
lesson29-MNIST测试https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson29-MNIST%E6%B5%8B%E8%AF%95
lesson30-Visdom可视化https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson30-Visdom%E5%8F%AF%E8%A7%86%E5%8C%96
lesson30-Visdom可视化https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson30-Visdom%E5%8F%AF%E8%A7%86%E5%8C%96
lesson31-过拟合与欠拟合https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson31-%E8%BF%87%E6%8B%9F%E5%90%88%E4%B8%8E%E6%AC%A0%E6%8B%9F%E5%90%88
lesson31-过拟合与欠拟合https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson31-%E8%BF%87%E6%8B%9F%E5%90%88%E4%B8%8E%E6%AC%A0%E6%8B%9F%E5%90%88
lesson32-Train-Val-Test-交叉验证https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson32-Train-Val-Test-%E4%BA%A4%E5%8F%89%E9%AA%8C%E8%AF%81
lesson32-Train-Val-Test-交叉验证https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson32-Train-Val-Test-%E4%BA%A4%E5%8F%89%E9%AA%8C%E8%AF%81
lesson33-regularizationhttps://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson33-regularization
lesson33-regularizationhttps://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson33-regularization
lesson34-动量与lr衰减https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson34-%E5%8A%A8%E9%87%8F%E4%B8%8Elr%E8%A1%B0%E5%87%8F
lesson34-动量与lr衰减https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson34-%E5%8A%A8%E9%87%8F%E4%B8%8Elr%E8%A1%B0%E5%87%8F
lesson35-early stopping, dropout, sgdhttps://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson35-early%20stopping%2C%20dropout%2C%20sgd
lesson35-early stopping, dropout, sgdhttps://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson35-early%20stopping%2C%20dropout%2C%20sgd
lesson37-什么是卷积https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson37-%E4%BB%80%E4%B9%88%E6%98%AF%E5%8D%B7%E7%A7%AF
lesson37-什么是卷积https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson37-%E4%BB%80%E4%B9%88%E6%98%AF%E5%8D%B7%E7%A7%AF
lesson38-卷积神经网络https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson38-%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C
lesson38-卷积神经网络https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson38-%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C
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lesson39-Pooling&upsamplehttps://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson39-Pooling%26upsample
lesson40-BatchNormhttps://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson40-BatchNorm
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lesson41-LeNet5,AlexNet, VGG, GoogLeNethttps://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson41-LeNet5%2CAlexNet%2C%20VGG%2C%20GoogLeNet
lesson41-LeNet5,AlexNet, VGG, GoogLeNethttps://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson41-LeNet5%2CAlexNet%2C%20VGG%2C%20GoogLeNet
lesson42-ResNethttps://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson42-ResNet
lesson42-ResNethttps://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson42-ResNet
lesson43-nn.Modulehttps://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson43-nn.Module
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lesson44-数据增强https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson44-%E6%95%B0%E6%8D%AE%E5%A2%9E%E5%BC%BA
lesson44-数据增强https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson44-%E6%95%B0%E6%8D%AE%E5%A2%9E%E5%BC%BA
lesson46-时间序列表示https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson46-%E6%97%B6%E9%97%B4%E5%BA%8F%E5%88%97%E8%A1%A8%E7%A4%BA
lesson46-时间序列表示https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson46-%E6%97%B6%E9%97%B4%E5%BA%8F%E5%88%97%E8%A1%A8%E7%A4%BA
lesson47-RNN原理https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson47-RNN%E5%8E%9F%E7%90%86
lesson47-RNN原理https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson47-RNN%E5%8E%9F%E7%90%86
lesson48-RNN Layer使用https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson48-RNN%20Layer%E4%BD%BF%E7%94%A8
lesson48-RNN Layer使用https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson48-RNN%20Layer%E4%BD%BF%E7%94%A8
lesson49-时间序列预测https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson49-%E6%97%B6%E9%97%B4%E5%BA%8F%E5%88%97%E9%A2%84%E6%B5%8B
lesson49-时间序列预测https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson49-%E6%97%B6%E9%97%B4%E5%BA%8F%E5%88%97%E9%A2%84%E6%B5%8B
lesson50-RNN训练难题https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson50-RNN%E8%AE%AD%E7%BB%83%E9%9A%BE%E9%A2%98
lesson50-RNN训练难题https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson50-RNN%E8%AE%AD%E7%BB%83%E9%9A%BE%E9%A2%98
lesson51-LSTM原理https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson51-LSTM%E5%8E%9F%E7%90%86
lesson51-LSTM原理https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson51-LSTM%E5%8E%9F%E7%90%86
lesson52-LSTM Layer使用https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson52-LSTM%20Layer%E4%BD%BF%E7%94%A8
lesson52-LSTM Layer使用https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson52-LSTM%20Layer%E4%BD%BF%E7%94%A8
lesson53-情感分类实战https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson53-%E6%83%85%E6%84%9F%E5%88%86%E7%B1%BB%E5%AE%9E%E6%88%98
lesson53-情感分类实战https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson53-%E6%83%85%E6%84%9F%E5%88%86%E7%B1%BB%E5%AE%9E%E6%88%98
lesson54-61-GAN原理https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson54-61-GAN%E5%8E%9F%E7%90%86
lesson54-61-GAN原理https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson54-61-GAN%E5%8E%9F%E7%90%86
lesson62-65-GAN实战https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson62-65-GAN%E5%AE%9E%E6%88%98
lesson62-65-GAN实战https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/lesson62-65-GAN%E5%AE%9E%E6%88%98
课程介绍https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/%E8%AF%BE%E7%A8%8B%E4%BB%8B%E7%BB%8D
课程介绍https://patch-diff.githubusercontent.com/aiedward/DeepLearningTutorials-1/tree/master/%E8%AF%BE%E7%A8%8B%E4%BB%8B%E7%BB%8D
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