Written by experts in AI, machine learning, and deep learning, the Hands-On AI tutorial series covers the tools, infrastructure, and techniques to help you build an application with powerful AI capabilities.
- Docker* containers
- Keras* neural network API
- TensorFlow* software library for machine intelligence
- Caffe* deep learning framework
- Intermediate knowledge of Python*
- Basic linear algebra
- Basic statistics
- Basic probability theory
- Familiarity with GitHub*
Anyone can follow along as we share source code and cloning environments to assist you in your app development. And non-technical readers can gain insight and details on how to develop an AI application.
This 24-part series of tutorials will be released in segments over the next few months. Be one of the first to know when the next installment of tutorials is published.