about the subject

Keras is a Python library designed to take the stress out of deep learning. The Keras library provides a library of high-level building blocks on top of the low-level features of the TensorFlow and Theano machine learning frameworks. In Keras, you define deep learning models without specifying the detailed mathematics and other mechanics, so you can focus on what you want to accomplish. Built with experimentation and prototyping in mind, Keras has a super friendly API and an intuitive Python-based coding style. With over 50,000 users, Keras is the perfect choice for any developer working with data.

prerequisites

Designed for intermediate-level data scientists, developers, and machine learning engineers. Code examples are in Python.

what you will learn

• Regression and classification problems
• Using neural networks for image processing
• Building autoencoders
• Designing and implementing a self-driving car
• Hands-on coding with practical exercises and examples

about the instructor

Dan Van Boxel is an engineer and data scientist with a background in both engineering and mathematics. On his livestream, Dan demonstrates a different machine learning library, method, or model weekly.