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.
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A primer in machine learning
Skills You'll Learn
Tensorflow, Computer Vision, Machine Learning
Reviews
4.8 (19,632 ratings)
- 5 stars81.19%
- 4 stars15.17%
- 3 stars2.41%
- 2 stars0.63%
- 1 star0.58%
AS
Mar 8, 2019
Good intro course, but google colab assignments need to be improved. And submitting a jupyter notebook was much more easier, why would I want to login to my google account to be a part of this course?
OS
Jan 25, 2023
I really liked the course. It was well explained and very interactive. I would like to continue the rest of the courses in the course if you allow me. Thank you. The course has been of great use to me
From the lesson
A New Programming Paradigm
Taught By
Laurence Moroney
Instructor