Learning TensorFlow 2.0 [Video]
Learning TensorFlow 2.0 [Video]
English | MP4 | AVC 1920×1080 | AAC 48KHz 2ch | 4h 08m | 855 MB
eLearning | Skill level: All Levels
Learning TensorFlow 2.0 [Video]: Learn to use Google’s framework: TensorFlow 2.0
TensorFlow is one of the most popular Google deep learning libraries and has become the industry standard for building AI applications. With the new release of TensorFlow 2.0, its many powerful new features speed up the development process.
In this course, we talk about all these new features and paradigms. With our TensorFlow course, you’ll master TensorFlow concepts, learn to apply algorithms, and build artificial neural networks-all of these are crucial to deep learning and Artificial Intelligence. After you’ve mastered the new features in TensorFlow 2.0, you’ll be able to rapidly build prototypes and move them to production.
- A comprehensive guide to the new features in TensorFlow 2.0 (and a recap of TF1.0 for newcomers)
- How to utilize the special way of writing code using the Graph Mode and Eager Execution
- Learn complicated concepts such as computation graphs, sessions, placeholders using demo code
- Understand how to use Eager Execution in an effective manner
- Learn about the upgrade tool to make your existing TF1.0 code compatible with TF2.0
- Learn how image recognition works; how it is implemented using Convolutional Neural Networks (CNN); and what’s new in TF2.0
- How to apply transfer learning and train your network faster with less data
- Learn about Recurrent Neural Networks (RNN) and how they are improved in TF2.0
By the end of this course, you will be able to implement models effectively, easily, and confidently with TensorFlow 2.0.