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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
16,270 ratings
3,386 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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3001 - 3025 of 3,403 Reviews for Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

By Tipakorn G

Apr 20, 2020

I wish the course provides references to associated academic papers as well.

By Akhil K

May 30, 2019

Good For Beginners with very intuitive delivery of Deep Learning concepts .

By Anas N A M

Apr 9, 2021

The Course is very simple and easy to learn but the lab is often get error

By Emmanuel j

May 29, 2020

A decent introduction to tensor flow through convolutional neural network.

By Rezoanoor/CS/Rezoanoor R

Apr 28, 2020

The course was great, just expected a bit more discussion on the theories!

By J N B P

Jan 6, 2021

A good course to start with for learning all about Tensorflow and Keras.

By Aashana N

Oct 8, 2020

Okay start if you are looking to see how TensorFlow and CNN can be used.

By Madhu K

May 21, 2020

Very interactive user interface and a great platform to learn Tensorflow

By Arun H

May 18, 2020

The videos were great. The assignments could have been more challenging.

By Michalis F

Sep 6, 2019

too introductory, can be done in a couple of hours, very good instructor

By Mikhail R

Jul 30, 2020

Good introduction course and materials (notebooks), but no deep details

By Sriramoju S S

Jun 23, 2020

It would be great if the programming assignments were more challenging.

By Chunduru G V S P

Aug 23, 2020

Very basic to take on tensorflow and clean and clear explained videos.

By Archana T R

Jun 18, 2020

Could have gone a bit deeper into the concepts, overall a good course.

By Marvin D

Aug 10, 2019

I got a great concept of machine learning using Tensorflow. Great job.

By Marcelo Q

Apr 20, 2019

Good if you have a good knowledge on ML and core concepts in you head.

By Taniya S

Jul 10, 2020

This is great course to give insights of a framework like tensorflow.

By Ajinkya

May 4, 2020

Expected it to be a bit more difficult in terms of quiz and exercise.

By Nicolas R

Sep 8, 2021

Great introduction, but week 4 is not as good as the 3 other (messy)

By Suoyuan S

Aug 5, 2020

quite easy to pass, but you can learn basic of tensorflow. have fun!

By Gevis I

Jul 19, 2020

The course was nice. However, I expected that it would be more deep.

By Ahmed T

Nov 25, 2019

The concepts are taught very well, but the assignments are too easy.

By Manuel A

Sep 21, 2019

Basic tensorflow code and simple examples, its ok to getting started

By Fabian A R G

May 20, 2021

Not bad, but I hope to see more advanced stuff in the next courses.

By SORAYUT M

Dec 29, 2020

OK, but it requires some background in deep learning to understand.