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


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This week we would like to highlight one of the current super popular courses on Coursera - Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep 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 how to use TensorFlow to implement those principles so that students can start building and applying scalable models to real-world problems.

*The full deeplearning.ai TensorFlow Specialization will be available later this year, but students can get started with this course.

Key Information About This Course:
Level: Beginner
100% online: Start instantly and learn at schedule
Flexible schedule and deadlines: Set and maintain flexible deadlines
Duration: Approx. 6 hours to complete, suggested 4 weeks of study, 4-5 hours/week.
Subtitles: English only

What will you learn?
• Learn best practices for using TensorFlow, a popular open-source machine learning framework
• Build a basic neural network in TensorFlow
• Train a neural network for a computer vision application
• Understand how to use convolutions to improve your neural network

Skills Gained in this Course:
• Computer Vision
• Machine Learning
• TensorFlow

Find out more or to enrol, go to the course page here

Discover more courses in Machine Learning here
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