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.

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Breandan Considine

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

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