Introduction to Deep Learning and Common Neural Network Architectures

Deep learning is part of a broader family of machine learning methods based on artificial neural networks with representation learning which can be use in supervised, semi-supervised or unsupervised. This talk introduces its concept, history, common architectures such as ANN (Artificial neural networks), CNN (Convolutional neural networks), RNN (Recurrent neural networks) among others, and some relevant industrial and commercial applications. We continue offering great job opportunities for software engi