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

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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 upcoming Machine Learning in Tensorflow 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 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.

Taught by: Laurence Moroney, Instructor

Lead AI Advocate, Google

Basic Info :

Course 1 of 4 in the DeepLearning.AI TensorFlow Developer Specialization

Level Intermediate :

Commitment 4 weeks, 4-5 hours/week

Language

English, Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, Turkish, Spanish, Japanese Volunteer to translate subtitles for this course.

How To Pass Pass all graded assignments to complete the course.