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學生對 提供的 Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning 的評價和反饋

2,856 個評分
587 個審閱


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....



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?


Aug 14, 2019

Great course to get started with building Convolutional Neural Networks in Keras for building Image Classifiers. This is probably the best way to get beginners into Deep Learning for Computer Vision.


151 - Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning 的 175 個評論(共 588 個)

創建者 wilson l

Apr 21, 2019

Excellent introductory course on using TensorFlow.

創建者 Leopoldo M

Apr 19, 2019

Great job! The course material was as clear as water.

創建者 Syed I

Apr 20, 2019

One of the beautiful course to begin with.

創建者 Manish B N

Apr 21, 2019

Nice and easy explanation of Tensor Flow. Excellent.

創建者 Cyrille D

May 06, 2019

This course is well structured and easy to follow. Thanks Laurence!

創建者 Diego M

May 05, 2019

An introductory course what is very, very good for principiants. Very recommendate

創建者 Chandrika S

Apr 23, 2019

short videos. easy to follow

創建者 ankit k

Apr 22, 2019


創建者 Gopikrishna E

Apr 22, 2019

This course provides the basic foundation building blocks to do Deep Learning with TensorFlow framework.

創建者 Kunal V

Apr 23, 2019

One of the best courses I have ever taken online. Looking forward to joining deep learning specialization programme.

創建者 Sankalpa C

Apr 23, 2019

Had a great time learning. Thank you.

創建者 Ljuboslav B

Apr 23, 2019

Great course, learned a lot and about Keras

創建者 Romilly C

Apr 23, 2019

A very well-presented, well-structured course with a good balance of theory and practice. It was fun, and I learned a lot.

The two presenters both have a warm style and a deep knowledge of the subject.

An excellent starting point for Python-literate developers who want to get to grips with TensorFlow and Deep Learning.

創建者 manish

Apr 23, 2019

good material on tensorflow

創建者 Ingo S

Apr 24, 2019

Great experience! Really introduced the key concepts quickly and easy to understand

創建者 Yafremau N

May 08, 2019

Amazing starter course to understand the basics and structure of Tensorflow, great well-paced lectures, nice practice examples.

創建者 Jingyue P

May 08, 2019

A good course for tensorflow!

創建者 Gregor V

May 09, 2019

Good course

創建者 Alket C

May 10, 2019

Such a great course!

創建者 Dhairya P

Apr 26, 2019

Nice introduction to TensorFlow and its capabilities.

創建者 Anand A

Apr 25, 2019

Very good course. Great introduction to beginners using Tensorflow. Teaches you how to implement CNNs for classification tasks. Would love to learn more about working with sequential time series data as well.

創建者 Amr E

Apr 25, 2019

It is a wonderful introduction and has a great stimulating tone.

創建者 张阳

Apr 26, 2019

no matter u know much or little about deep learning, you can achive a lot from this course

創建者 Luis C

Apr 25, 2019

Basic, but really clear and useful.

創建者 anjali s

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