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• file:zfdev_tree.txt
• file:22.lesson12 基本运算.mp4
• file:18.lesson10 Broatcasting 1.mp4
• file:30.lesson18 激活函数及其梯度2.mp4
• file:37.lesson24 Logistic Regression.mp4
• file:43.lesson30-Visdom可视化.mp4
• file:55.lesson39-Pooling&upsample.mp4
• file:58.lesson41-LeNet5,AlexNet, VGG, GoogLeN.mp4
• file:60.lesson42-ResNet，DenseNet-1.mp4
• file:62.lesson43-nn.Module-1.mp4
• file:64.lesson44-数据增强Data Argumentation.mp4
• file:57.lesson40-BatchNorm-2.mp4
• file:79.lesson57-纳什均衡-D.mp4
• file:86.lesson64-GAN训练不稳定.mp4
• file:5.lesson4-PyTorch求解Linear Regression案例.mp4
• file:6.lesson5 -手写数字问题引入1.mp4
• file:1.lesson1-PyTorch介绍.mp4
• file:47.lesson33-regularization.mp4
• file:49.lesson35-early stopping, dropout, sgd.mp4
• file:45.lesson32-Train-Val-Test-交叉验证-1.mp4
• file:74.lesson52-LSTM Layer使用.mp4
• file:11.lesson7 创建Tensor 2.mp4
• folder:【Python教程】Python.网易云课堂.深度学xi与PyTorch入门实战教程
• folder:05.张量高阶操作
• folder:06.随机梯度下降
• folder:08.多层感知机与分类器
• folder:11.CIFAR10与ResNet实战
• folder:13.对抗生成网络GAN
• folder:02.开发环境准备
• folder:01.深度学习框架介绍
• folder:09.过拟合
• folder:12.循环神经网络RNN&LSTM
• folder:04.Pytorch张量操作