Customising your models with TensorFlow 2

Welcome to Customising your Models with TensorFlow 2. This module covers the Keras functional API, multiple inputs and outputs, variables, tensors, freezing layers, and device placement. It also includes coding tutorials, knowledge checks, and additional readings to reinforce learning.

Welcome to week 2 - Data Pipeline. In this module, you will learn about Keras datasets, dataset generators, image data augmentation, the Dataset class, training with datasets, and TensorFlow Datasets. The module also includes coding tutorials, knowledge checks, and additional readings for comprehensive understanding.

Welcome to week 3 - Sequence Modelling. This module covers preprocessing sequence data, the IMDB dataset, padding and masking sequence data, the Embedding layer, recurrent neural network layers, stacked RNNs, Bidirectional wrapper, and a language model for the Shakespeare dataset. It includes coding tutorials and readings for in-depth learning.

Welcome to week 4 - Model subclassing and custom training loops. This module delves into model subclassing, custom layers, automatic differentiation, custom training loops, the tf.function decorator, and a residual network. Coding tutorials and readings supplement the learning experience.

Welcome to the Capstone Project. This module is devoted to the Capstone Project, where you will apply all the concepts learned throughout the course to develop a custom neural translation model from scratch. The module also includes a post-course survey for feedback.