Introduction to Deep Learning for Developers

In this session we will demonstrate how to get started with deep learning by launching a GPU machine with tutorial notebooks.

We will go over fundamental concepts of Deep Learning such as Perceptron, Convolution NN, Recurrent NN and Embedding, with each concept demonstrated using simple MXNet code examples. We will also focus on how the intuition of these units helps to solve artificial intelligence problems.

At the end of this session, you will have an understating of the power of deep learning, and the incentive and technical guides to dive deeper into this exciting technology.