Convolutional Neural Networks with Eclipse Deeplearning4j

In the previous article we have seen how to use Eclipse Deeplearning4j for building, training and testing a simple and classic MLP  (Multi Layer Perceptron) neural network. As a dataset we used the "hello world" example of deep learning, that is the MNIST: a dataset of 70,000 b/w images of 28×28 pixels, representing handwritten 0-9 digits. Now we will explore a different architecture known as Convolutional Neural Network (CNN), which is very powerful, particularly when dealing with image classification tasks. After having explained how this network works and why it is so efficient, then we will take our previous MLP example, [...]