Deep learning with Python

1. What is deep learning?

2. The mathematical building blocks of neural networks

3. Introduction to Keras and TensorFlow

4. Getting started with neural networks: classification and regression

5. Fundamentals of machine learning

6. The universal workflow of machine learning

7. Working with Keras: a deep dive

8. Introduction to deep learning for computer vision

9. Advanced deep learning for computer vision

10. Deep learning for timeseries

11. Deep learning for text

12. Generative deep learning

13. Best practices for the real world

14. Conclusions.

Part 1: Fundamentals of deep learning. What is deep learning?

Before we begin: the mathematical building blocks of neural networks

Getting started with neural networks

Fundamentals of machine learning

Part 2: Deep learning in practice. Deep learning for computer vision

Deep learning for text and sequences

Advanced deep-learning best practices

Generative deep learning.