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

1,192 calificaciones
250 revisiones

Acerca de este Curso

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 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. The full TensorFlow Specialization will be available later this year, but you can get started with Course 1, Introduction to Tensorflow for AI, ML and DL, available now on Coursera....

Principales revisiones

por AS

Mar 09, 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?

por HW

May 20, 2019

The course demystified simple computer vision classification use-cases by leveraging TensorFlow. This is a great follow-on course to Andrew Ng's 11-week Stanford Machine Learning course.

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252 revisiones

por Abhijeet Mishra

May 26, 2019

helpful insights about convolution and pooling. I could see how they work together.

por Sui Xiuxu

May 26, 2019


por Tola Chhoeun

May 25, 2019

The best course to get yourself started in TensorFlow. It is my first time with Python and TensorFlow, but I don't have any trouble following this course.

por anjali singh

May 25, 2019

This course has been extremely helpful in learning Machine learning, deep learning and Artificial Intelligence on a programmer's level. Thank you, coursera

por Ashok Vasudevan

May 25, 2019

Excellent one ..specially for Tensorflow

por Michael Sheinfeild

May 24, 2019

practical introduction to deep learning

por Vardhan Dongre

May 24, 2019

Its a good introduction for beginners to tensorflow library. I would suggest first clearing your fundamentals of machine learning and computer vision before taking this course.

por saumya

May 24, 2019

It was a well-formatted course for someone just starting out with tensorflow as their choice of deep-learning framework.

por Eric Morehouse

May 24, 2019

well done, I pick up more every time I review the class... one might want to look up the material on youtube before taking the class. It dose take some time to digest.

por Ramast

May 23, 2019

I am a programmer with a little knowledge of statistics. Other courses really dive into the theory and I get lost pretty fast.

This one however just teach you how to use the existing AI libraries without digging deep into how they work and what algorithms they employ.

It was pretty easy for me to follow through with this course and I'd recommend it for any beginner