Deep learning with Tensorflow/PyTorch

0. Install Tensorflow
1. Training first neural network on CPU
2. Training model with validation
3. Training first convolutional neural network on CPU
4. Multi-GPUs: Mirrored Strategy

0. Install PyTorch (ommit)
1. First Neural Network on CPU

• Softmax Regression: 全连接神经网络
• AutoEncoder: 自动编码器
• Perception: 多层感知机
• SimpleCNN: 一个简单的卷积神经网络
• AlexNet_Modify: 一个稍微复杂的卷积神经网络

• TF-Estimator mnist: TF-Estimator toturial (Use tf.contrib.slim to create model and tf.estimator to train model)
• TF-Estimator mnist: TF-Estimator toturial (Use tf.keras to create model and tf.estimator to train model)
• GPU Fashion MNIST
• Fashion MNIST + LeNet
• Cifar-10 classification + AlexNet
• Cifar-10 classification + VGG
• Cifar-10 classification + ResNet