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Learner Reviews & Feedback for Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning by DeepLearning.AI

4.7
stars
16,095 ratings
3,362 reviews

About the 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....

Top reviews

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?

RD
Aug 13, 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.

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3226 - 3250 of 3,380 Reviews for Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

By KAUSHAL K

Aug 4, 2020

Prior knowledge of CNNs is required, instructor just walks through the modules, you shoild be prepared to learn stuff from the documentations on internet amd the sample modules.

By Rui P

Aug 27, 2019

Instructors, please take a look at the discussion forum and answer some questions. It would save students a lot of time. The content of the course was overall awesome though.

By Xiangzhen Z

Aug 17, 2019

Each video is a bit too short. And the assingment can't be smoothly finished and submitted due to environment issue. The creator should try to improve the user experience.

By Volodymyr L

Sep 13, 2020

A very basic course, but it doesn't give you any fundamentals - just gives you a chance to recall keras API better. You'll be much better off doing cs231n, which is free!

By Aniket C

May 9, 2020

The notebooks do not provide enough information about what block implements what. A simple comment that implement custom callback here would have made things lot easier.

By Ranjan D

Aug 22, 2019

The course was good enough on the high-level perspective but was expecting pure TensorFlow based implementation of the models instead of using the Keras high-level API.

By Roger G A

Oct 8, 2020

The course was very basic but interesting. However, there were some issues when submitting the assignments. And the virtual lab uses tensorflow 1.x instead of 2.x

By Baurjan S

Mar 12, 2019

It's very introductory and the knowledge may not stick. I think it is more beneficial to take a full deep learning course with TF as an add-on to the course.

By Desiré D W

Nov 12, 2019

Great content, excellent explanations.

But I couldn't run the notebooks without running into kernel issues, the programming assignments were a real hassle.

By Harmanpreet S

Apr 2, 2019

Could have been a more elaborated course. This course mostly talks about how Keras functionality has been adopted by high-level APIs in Tensorflow.

By Mohammad F

Feb 1, 2020

This course gives a high-level overview to tensorflow keras api which is good to begin with but working on complex use cases would be preferred.

By Yonatan N

Aug 10, 2019

This course was not focused on learning tensorflow as I had hoped. Instead, it felt like an into to neural networks course using tensorflow.

By Jeroen v H

Jul 3, 2019

I missed graded exercises. WIth only the simple multiple-choice questions tests it becomes a try and retry game to score as high as possible,

By Samuel K

Oct 29, 2019

Too easy and lacks theoretical explanation, even though there are references and it seems that it lacks the explanations on purpose...

By Martin P

Oct 9, 2019

After finishing the amazing Machine Learning course, this felt little underwhelming. Hopefully the next courses will be more in depth.

By Nattachai T

Dec 15, 2020

The examples almost show you how to complete every labs. It would help me more if you increase the difficulty in the exercises.

By Amine M I

Jan 6, 2021

Too basic for someone with a maths and Machine Learning background. Probably better to upgrade to the Advanced classes offered.

By Adarsh G

Aug 9, 2020

This Course is only useful if and only if u have prior knowledge about neural networks, and if previously used Tensorflow

By saumya

May 24, 2019

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

By Marco B

Aug 17, 2019

Very good course to start with TensorFlow but a lot of problems on coursera's servers, the exercises are crashing a lot

By Ashim M M I T a A S

Sep 30, 2020

It was annoying to keep writing the callbacks when we could use the inbuilt callbacks already provided. twas alright.

By Pavel D

Sep 23, 2019

Exercises are too simple and mostly mechanical, they don't force to explore the internal network details and concepts

By Aditya M

Aug 5, 2019

It was a very basic course. Didn't learn much from this course. Expecting a better & in-depth dive in future courses.

By Oleg K

Aug 6, 2020

Quite short course with not so much information as for a paid course. Other than that - good intro for the beginners

By RAVI P

Jun 15, 2020

The quality of assignments should be better. There should be less emphasis on overfitting the data to 99% or 100%