Deep learning from scratch

You'll go hands-on to learn the theoretical foundations and principal ideas underlying deep learning and neural networks. Bruno Gonalves provides the code structure of the implementations that closely resembles the way Keras is structured, so that by the end of the course, you'll be prepared to dive deeper into the deep learning applications of your choice.

Over the past few years, we’ve seen a convergence of two large-scale trends: big data and big compute. The resulting combination of large amounts of data and abundant CPU (and GPU) cycles has brought to the forefront and highlighted the power of neural network techniques and approaches that were once thought to be too impractical. Deep learning, as this new wave of interest has come to be known, has made impressive and unprecedented progress on applications as diverse as natural language processing, machine translation, computer vision, robotics, etc. You’ll go hands-on to learn the theoretical foundations and principal ideas underlying deep learning and neural networks. Bruno Gonçalves provides the code structure of the implementations that closely resembles the way Keras is structured, so that by the end of the course, you’ll be prepared to dive deeper into the deep learning applications of your choice.