NNDL-solutions

Solutions (math and code) of the exercises and problems from Michael Nielsen's online book Neural Networks And Deep Learning (and also adaptations to the code for Python 3).

The solutions can be found in the directory notebooks (nbviewer currently recommended because of the issues Github has with rendering math in notebooks: notebooks on nbviewer).

This work is in progress: I'm regularly updating this repo with my solutions, which takes some time since I hadn't written them neatly enough when I first did the exercises.

Here are the uploaded chapters so far (again, providing links to nbviewer):

• Chapter 0: Update the code for Python 3
• Chapter 1: Using neural nets to recognize handwritten digits
• Chapter 2: How the backpropagation algorithm works
• Chapter 3: Improving the way neural networks learn