The course Neural Networks and Deep Learning are based on a series of materials provided by Michael Nielsen. In this course, you will learn about the core concepts behind neural networks and deep learning.
First, please consider sending Michael Nielsen a thank you note for all his efforts by:
- Donating to him via his website
- Tweeting to him & following him on twitter
- Subscribing for his mailinglist
Contents
Lesson 1. Using neural nets to recognize handwritten digits
Lesson 1.1. Perceptrons
Lesson 1.2 Sigmoid Neurons
Lesson 1.3 The Architecture of Neural Networks
Lesson 1.4 A Simple Network to Classify Handwritten Digits
Lesson 1.5 Learning with gradient descent
Lesson 1.6 Implementing our network to classify digits
Lesson 1.7 Toward Deep Learning
Appendix: Is there a simple algorithm for intelligence?
Documentation - Getting Started
FAQ