TensorFlow 2.0 Complete Course – Python Neural Networks for Beginners

About TensorFlow

TensorFlow is one of the most popular machine learning platforms—and it’s completely open source. With TensorFlow 2.0, it has never been easier to build and deploy machine learning models.

The course is designed for Python programmers looking to enhance their knowledge and skills in machine learning and artificial intelligence.

Not only will this course teach you how to use TensorFlow, it will also give you a great overview of machine learning and artificial intelligence.

The creator of this course is Tim Ruscica. Throughout eight modules, Tim covers the fundamental concepts and methods in machine learning and artificial intelligence like:

• core learning algorithms,
• deep learning with neural networks,
• computer vision with convolutional neural networks,
• natural language processing with recurrent neural networks,
• and reinforcement learning.

To go along with the video portion of this course, there are six information-packed Jupyter notebook files. These files contain extensive notes, instructions, and diagrams. They also include all the code used in the course so you can easily try out the code yourself. And you can access the files on Google Colaboratory, allowing you to run all the code in your browser.

After completing this course you will have a thorough knowledge of the core techniques in machine learning and AI and have the skills necessary to apply these techniques to your own datasets.