Chevron Left
Back to Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

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

4.8
stars
19,639 ratings

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 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....

Top reviews

PS

Jan 6, 2023

I would highly recommend this course for someone who wants to get started into Deep Learning using TensorFlow. Do remember to work on some new projects after finishing this professional certificate.

SM

Jul 8, 2022

The guidance provided in this course including the course content is exceptional. Mixing programming with explanation of underlying mathematics and terms was truly helpful. Kudos to the entire team.

Filter by:

3176 - 3200 of 4,001 Reviews for Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

By Petruk P

•

Apr 17, 2020

Cute

By Philip V j

•

Apr 3, 2020

good

By Shi-Hong L

•

Feb 14, 2020

GOOD

By zhenzhen w

•

Nov 17, 2019

nice

By M n n

•

Oct 10, 2019

Gr8!

By guike s

•

Sep 26, 2019

good

By Jurassic

•

Sep 6, 2019

good

By Rupsa R

•

Jul 4, 2019

Good

By Nazarii N

•

Jun 25, 2019

cool

By Dr S P

•

Jun 20, 2019

good

By Sui X

•

May 26, 2019

good

By Ankit K

•

Apr 21, 2019

good

By Ashok R A

•

Apr 3, 2019

Good

By Mohamed M

•

Sep 30, 2020

<3

By Keshav B

•

Jul 12, 2020

<3

By Srijeet C

•

Mar 30, 2020

N

A

By Ming G

•

Aug 16, 2019

gj

By Erazo M J S

•

Nov 26, 2023

.

By Myungjin K

•

Jul 28, 2021

By Anirban S A

•

Jul 19, 2021

By Kismat K

•

Apr 24, 2021

l

By Rubén M

•

Aug 27, 2019

I

By Raman M

•

Aug 3, 2019

i

By R H

•

Sep 13, 2019

Great introduction to using Tensorflow to implement convolutional networks.

I took the Stanford course by Andrew Ng first, so many of the concepts were very familiar - in some cases, the detail was just a little bit shallow - probably to avoid interfering with getting on with implementation - but this course certainly had references outside the course to some more detailed information on topics like how convolutions help identify features or the learning factor.

The jupiter notebooks were great in that you don't need to worry about the environment much - it's already set up - a big worry for me for many of these types of courses. But there were quirks, and a few times I (and some of the other students) could get tripped up for a little while. If you are a developer like I used to be, then troubleshooting and debugging environment/code issues is a small hurdle though.

Kudos to the instructors and those that set up the course - this is otherwise very hard material to teach and set up good "hands on" evaluation, which they did really well, a couple kinks aside.