课程概况
This course provides an introduction to Deep Learning, a field that aims to harness the enormous amounts of data that we are surrounded by with artificial neural networks, allowing for the development of self-driving cars, speech interfaces, genomic sequence analysis and algorithmic trading.
You will explore important concepts in Deep Learning, train deep networks using Intel Nervana Neon, apply Deep Learning to various applications and explore new and emerging Deep Learning topics.
课程大纲
周1
完成时间为 5 小时
Introduction to Deep Learning and Deep Learning Basics
4 个视频 （总计 64 分钟）, 3 个阅读材料, 1 个测验
周2
完成时间为 4 小时
Convolutional Neural Networks (CNN), Fine-Tuning and Detection
4 个视频 （总计 44 分钟）, 2 个阅读材料, 1 个测验
周3
完成时间为 3 小时
Recurrent Neural Networks (RNN)
2 个视频 （总计 20 分钟）, 1 个阅读材料, 1 个测验
周4
完成时间为 2 小时
Training Tips and Multinode Distributed Training
3 个视频 （总计 18 分钟）, 2 个阅读材料, 1 个测验
周5
完成时间为 2 小时
Hot Research and Intel's Roadmap
3 个视频 （总计 28 分钟）, 2 个阅读材料
周6
完成时间为 1 小时
Final Quiz
1 个测验
