Introduction
Chapter One: What is Machine Learning?
Chapter Two: An Introduction to Neural Networks
Chapter Three: An Introduction to Deep Learning
Chapter Four: Supervised Learning
Chapter Five: Unsupervised Learning
Chapter Six: How to Create and Train Deep Learning Models
Chapter Seven: Applications of Deep Learning
Chapter Eight: An Introduction to Python
Chapter Nine: Python Environment for Deep Learning
Chapter Ten: How to Develop a Neural Network in Python using Keras
Chapter Eleven: How to Evaluate the Performance of a Deep Learning Model
Chapter Twelve: How to Save and Load Deep Learning Models
Chapter Thirteen: Reducing Dropouts in Deep Learning Models
Conclusion
Sources