Deep learning continues to push the state of the art in domains such as computer vision, natural language understanding and recommendation engines. One of the key reasons for this progress is the availability of highly flexible and developer friendly deep learning frameworks. During this workshop, members of the Amazon Machine Learning team will provide a short background on Deep Learning focusing on relevant application domains and an introduction to using the powerful and scalable Deep Learning framework, MXNet. At the end of this tutorial you’ll gain hands on experience targeting a variety of applications including computer vision and recommendation engines as well as exposure to how to use preconfigured Deep Learning AMIs and CloudFormation Templates to help speed your development.
Module 1. Background on Deep Learning
Module 2. Walkthrough on Setting up AMIs, CloudFormation Templates and other Deep Learning Frameworks on AWS
Module 3. A Peek Under the MXNet Hood (MXNet Internals)
Module 4. Hands on with MXNet: NDArrays, Symbols, And Mechanics of Training Deep Neural Networks
Module 5. Hands on with MXNet: Application Examples Targeting Compute Vision and Recommendation Engines
1. An AWS account isn’t required (but you should get one anyway, they’re free..)
2. Familiarity with Python and Jupyter Notebooks
3. Some experience in machine Learning would be helpful
4. Bring your laptop.