What operation does `tf.matmul()` perform?

What does `tf.transpose()` do to a tensor?

What a reduction operations in TensorFlow can do?

What does Gradient Tape in TensorFlow record?

What is the purpose of the `@tf.function` decorator?

In TensorFlow, what does broadcasting refer to?

What is a "rank" in the context of TensorFlow tensors?

What is the advantage of transforming a function into a graph in TensorFlow?

Dive deep into the world of TensorFlow with our course, designed to give you a robust understanding of its core components. Begin with an exploration of tensors and the basics of TensorFlow framework. By the course's end, you'll have honed the skills to build tensor-driven systems, including crafting a basic neural network. Equip yourself with the knowledge to harness TensorFlow's full potential and set the foundation for advanced deep learning pursuits.

You will gain a foundational understanding of TensorFlow's primary components - Tensors. You'll delve into the nature and applications of tensors, familiarize yourself with tensor properties, and acquire knowledge in essential mathematical operations.

You'll learn how TensorFlow operates and the ways to improve its performance. By the end of this module, you'll be well-equipped to implement basic neural networks or other tensor calculations, using only the TensorFlow library without any extras.

Introduction to TensorFlow

Quiz: Conclusion