TensorFlow 2 for Deep Learning

Description

In this course, you will :

• The course will walk you through the fundamental concepts needed to successfully build, train, evaluate, and predict deep learning models, as well as validate your models and include regularisation, callbacks, and saving and loading models.
• TensorFlow's lower level APIs will be used to create complex model architectures, fully customised layers, and a flexible data workflow. You will also broaden your understanding of TensorFlow APIs to include sequence models.
• Learn how to create probabilistic models with TensorFlow, focusing on the TensorFlow Probability library, which is designed to make combining probabilistic models with deep learning simple.

Syllabus :

• Getting started with TensorFlow 2
• Customising your models with TensorFlow 2
• Probabilistic Deep Learning with TensorFlow 2