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.
By the end of this course, you will be able to implement models effectively, easily, and confidently with TensorFlow 2. 0.
This course is suitable for Deep learning developers and data scientists who want to gain in-depth hands-on knowledge of the newest release of TensorFlow 2. 0 and to get into the world of Machine Learning by building as they learn. Some knowledge of Numpy, Pandas, and the Python 3 language is assumed for this course.
The new features and functionality are explained in simple, easy-to-understand videos.
Several code demos and examples help you understand how the new features work
Ready-to-run code files are provided in the form of Jupyter Notebook files for hands-on practice.