file:深度学习与PyTorch入门实战教程.lnk file:课时75 数据增强.mp4 file:课时74 nn.Module模块-2.mp4 file:课时72 ResNet与DenseNet-2.mp4 file:课时70 经典卷积网络 LeNet5,AlexNet, VGG, GoogLeNet-2.mp4 file:课时68 BatchNorm-2.mp4 file:课时66 池化层与采样.mp4 file:课时65 卷积神经网络-3.mp4 file:课时60 Early stopping, dropout等.mp4 file:课时59 动量与学习率衰减.mp4 file:课时58 Regularization.mp4 file:课时57 交叉验证-2.mp4 file:课时54 Visdom可视化.mp4 file:课时53 MNIST测试实战.mp4 file:课时52 激活函数与GPU加速.mp4 file:课时47 Logistic Regression.mp4 file:课时44 反向传播算法-1.mp4 file:课时42 感知机的梯度推导-2.mp4 file:课时26 Broadcasting-3.mp4 file:课时16 创建Tensor-1.mp4