Deep learning 101: Apache MXNet

Simon Corston-Oliver offers an introduction to deep learning in Python using Apache MXNet. Starting with deep learning fundamentals, Simon then walks you through training and evaluating a model and explores advanced topics such as training on multiple GPUs.

Apache MXNet allows Python programmers to develop state-of-the-art deep learning models in a familiar imperative programming methodology using the Gluon APIs. Simon Corston-Oliver offers an introduction to deep learning in Python using Apache MXNet. Simon starts with deep learning fundamentals and then explores advanced topics such as training on multiple GPUs. You’ll learn best practices for manipulating data and get hands-on experience training and evaluating complex models for computer vision in a Jupyter notebook.