Learn deep learning frameworks Tensorflow 2 Customization Tensors and operations Custom layers Automatic differentiation Custom training Custom training: walkthrough Performance with tf.function Distributed training Distributed training with Keras Custom training loops Multi-worker training with Keras Multi-worker training with Estimator Save and load Images Convolutional Neural Network Image classification Transfer learning with TF Hub Transfer learning with pretrained CNN Image segmentation Object detection with TF Hub Object detection API PyTorch Getting Started Deep Learning with PyTorch: A 60 Minute Blitz Writing Custom Datasets, DataLoaders and Transforms Visualizing Models, Data, and Training with Tensorboard Image TorchVision Object Detection Finetuning Tutorial Transfer Learning for Computer Vision Tutorial Spatial Transformer Networks Tutorial Neural Transfer Using PyTorch Advaersarial Example Generation DCGAN Tutorial Parallel and Distributed Training Single-Machine Model Parallel Best Practices Getting Started with Distributed Data Parallel Writing Distributed Applications with PyTorch Getting Started with Distributed RPC Framework