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Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

By Coursera on Coursera · Technology
Price
Free

About This Course

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the DeepLearning.AI TensorFlow Developer Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new DeepLearning.AI TensorFlow Developer Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.

Instructor

Introduction to TensorFlow for Artificial Intelligence

Frequently Asked Questions

How much does Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning cost?
Visit the Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning course page for current pricing and available discounts.
Who teaches Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning?
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning is taught by Laurence Moroney, DeepLearning.AI.
What skill level is Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning for?
This course is designed for beginner learners.