Fundamentals of deep neural networks - application based in convolutional networks

Abstract

Deep neural networks are becoming the state-of-the-art in the field of machine learning, especially because of their notable performance in a variety of current problems. Among these algorithms we can cite convolutional neural networks as one of the most powerful models for image classification problems. This research aimed to perform a theoretical study on deep neural networks, as well as to implement a convolutional neural network applied to the problem of handwritten digits classification.