Skip to content

Latest commit

 

History

History
27 lines (13 loc) · 1.34 KB

File metadata and controls

27 lines (13 loc) · 1.34 KB

TensorFlow: Neural Networks and Working with Tables

This is the repository for the LinkedIn Learning course TensorFlow: Neural Networks and Working with Tables. The full course is available from LinkedIn Learning.

TensorFlow: Neural Networks and Working with Tables

TensorFlow 2.0 is quickly becoming one of the most popular deep learning frameworks and a must-have skill in your artificial intelligence toolkit. Using a hands-on approach, instructor Jonathan Fernandes covers foundational skills for deep learning using TensorFlow 2.0, from creating single and multi-layer networks, to training a network, and using it to make predictions. He also covers loss functions, optimizers, and some of the data APIs unique to TensorFlow.

See the readme file in the main branch for updated instructions and information.

Instructions

The two files used in this course are located in the "Main" branch.

Instructor

Jonathan Fernandes

Data Scientist

Check out my other courses on LinkedIn Learning.