Introduction
In this course, you will learn the basic concepts and syntax of TensorFlow 2, and how to use TensorFlow 2 to implement deep learning algorithms.
ðŊ Tasks
In this course, you will learn:
- How to use the basic concepts and syntax of TensorFlow 2
- How to implement computing derivative and automatic differential
- How to implement linear regression and polynomial regression using TensorFlow 2
- How to implement shallow and deep neural networks using TensorFlow 2
- How to classify the car safety evaluation dataset using TensorFlow 2
- How to implement classic convolutional neural networks using TensorFlow 2
- How to save and restore TensorFlow 2 models
ð Achievements
After completing this course, you will be able to:
- Understand the basic concepts and syntax of TensorFlow 2
- Implement various deep learning algorithms using TensorFlow 2
- Apply TensorFlow 2 to solve real-world problems
- Save and restore TensorFlow 2 models
