Deep learning functions
Hi there, the second part of the project is finishing. This period was quite interesting because I had to dive into the theory behind Neural Networks In particular [1], [2], [3] and [4] were very useful and I will sum up some concepts here below. On the other hand, coding became more challenging and t he focus was on the python layer and in particular the way to structure the class in order to make everything scalable and generalizable. Summarizing the situation, in the first period I implemented all the Octave classes for the user interface. Those are Matlab compatible and they call some Python function in a seamless way. On the Python side, the TensorFlow API is used to build the graph of the Neural Network and perform training, evaluation and prediction. I implemented the three core functions: trainNetwork, SeriesNetwork and trainingOptions. To do this, I used a Python class in which I initialize an object with the graph of the network and I store this object as attri...