March 8-10, 2017
Montreal, Canada

An introduction to Deep Learning

Neural networks have seen renewed interest from data scientists and machine learning experts for their ability to accurately classify high-dimensional data like images and sound. In this session we will discuss the fundamental algorithms behind neural networks, and develop an intuition for how to train a deep neural network. We will then use the algorithms we have learned to train a simple handwritten digit recognizer using TensorFlow.

View all 156 sessions

Breandan Considine

Breandan is a software engineer and developer advocate. He enjoys machine learning, speaking at conferences, and learning from other software developers.

Read More

Comments

Please remain courteous and constructive. Comments will be moderated.

Montreal 2017 sponsored by