Deep Learning Tutorial part 2/3: Artificial Neural Networks - Lazy Programmer

This is part 2/3 of a series on deep learning and deep belief networks. This section will focus on artificial neural networks (ANNs) by building upon the logistic regression model we learned about last time. It'll be a little shorter because we already built the foundation for some very important topics in part 1 – namely the objective / error function and gradient descent. We will focus on 2 main functions of ANNs – the forward pass (prediction) and backpropagation (learning). Your sci-kit learn analogues would be model.predict()