Convolutional neural networks: Reference

Neural networks have been around for a while.

They’ve more recently become very useful.

The main learning mechanism in neural networks is back-propagation and gradient descent.

Building neural networks with Keras is straightforward

We need to use training, validation, testing datasets to avoid over-fitting

Some additional tricks can improve your networks

Visualizing what your network does can help interpret the results

A summary of everything so far