Table of Contents
- Overview of Deep Learning Using PyTorch
- Combining CNNs and LSTMs
- Deep CNN Architectures
- Deep Recurrent Model Architectures
- Hybrid Advanced Models
- Music and Text Generation with PyTorch
- Neural Style Transfer
- Deep Convolutional GANs
- Deep Reinforcement Learning
- Operationalizing Pytorch Models into Production
- Distributed Training
- PyTorch and AutoML
- PyTorch and Explainable AI
- Rapid Prototyping with PyTorch
