Deep Learning - An Introduction

Dive into a comprehensive conference talk on deep learning and neural networks. Explore the fundamental algorithms behind neural networks and develop an intuition for training deep neural networks with large datasets. Learn to train a simple handwritten digit recognizer and apply the technique to different images. Discover how to implement these algorithms using DL4J, a Spark-based Java library for deep learning. Gain hands-on experience in implementing a neural network, monitoring its training progress, and testing its accuracy over time. Prior experience with Java and basic algebra is recommended for this 2-hour and 21-minute session, which covers both theoretical concepts and practical applications in the field of deep learning.

Deep Learning: An Introduction by Breandan Considine