A quick crash course in understanding the essentials of TensorFlow 2 and the integrated Keras API.
- Understanding Tensors
- Understanding Layers in TensorFlow
- Tensor Operations
- Gradient Descent
- Autodiff using Gradient Tape
- Custom Training Loops
- Sequential, Functional and Subclassing APIs
- Wide and Deep Networks
- Deep Learning Essentials
- Layers, Optimizers, Learning Rate
- Dense Neural Nets (ANNs)
- Activation Functions
- Batch Normalization, Dropout
- Dynamic Learning Rate Policies
- Convolutional Neural Networks (CNNs)
Author: Dipanjan (DJ) Sarkar