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Learner Reviews & Feedback for Convolutional Neural Networks in TensorFlow by DeepLearning.AI

7,155 ratings
1,114 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. In Course 2 of the TensorFlow Specialization, you will learn advanced techniques to improve the computer vision model you built in Course 1. You will explore how to work with real-world images in different shapes and sizes, visualize the journey of an image through convolutions to understand how a computer “sees” information, plot loss and accuracy, and explore strategies to prevent overfitting, including augmentation and dropout. Finally, Course 2 will introduce you to transfer learning and how learned features can be extracted from models. 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....

Top reviews

Sep 11, 2019

great introductory stuff, great way to keep in touch with tensorflow's new tools, and the instructor is absolutely phenomenal. love the enthusiasm and the interactions with andrew are a joy to watch.

Nov 12, 2020

A really good course that builds up the knowledge over the concepts covered in Course 1. All the ideas are applicable in real world scenario and this is what makes the course that much more valuable!

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1026 - 1050 of 1,115 Reviews for Convolutional Neural Networks in TensorFlow

By Ashish J

Jul 3, 2020

this could have been better if object detection and segmentation was a part of

By Enyang W

Nov 6, 2019

too easy! not much to learn actually. all the videos could be one lesson only

By vedansh s

Sep 13, 2019

The concepts are not as clear as in other courses.

Dissapointed a little bit

By Wellington B

Aug 5, 2019

need to watch Andrew Ng's course on deep learning before watching this one

By Alan K H S

Jul 25, 2021

The final exercise its really unclear on instructions and tools to use

By Aditya S

Jan 17, 2021

Week 4 assignment has a faulty csv file. Labels not correctly loaded

By Joey Y

Aug 4, 2019

The course seems to be getting more loose than the first course.

By Moustafa S

Jun 26, 2020

the same problems with the auto graders, it's exhausting sadly

By Pranav H

Dec 2, 2019

Coding exercises should be made compulsory and for the grade

By Eyal B

Feb 16, 2020

Didn't provide a real understanding for transfer learning


Jan 4, 2020

not much of insights or details, and it's too easy!

By Sandeep

Apr 22, 2021

The lab exercises for week 4 needs to be changed

By Alejo G

Oct 6, 2019

A lot of boilerplate code with few new concepts

By Mikołaj M

Oct 12, 2020

The course covers elementary techniques.

By Victor S

Sep 4, 2020

Useful course. Just a bit unstructured.

By Param O

Jul 30, 2021

The grader keeps running out of memory

By Bojiang J

Mar 7, 2020

Content too easy and not engaging....

By Jorge E

Sep 22, 2021

Se repiten varios temas del curso 1

By Aymen M

Mar 20, 2021

The last assignment is malformed

By Navid H

Sep 15, 2019

I wish it had real assignments

By Samyak J

Aug 2, 2020

exercises are not very clear

By Paula S

Apr 6, 2020

course is a little too easy.

By Pallavi

Mar 12, 2020

It was not great and good

By Yuxuan C

Apr 12, 2020

A little bit too easy.

By Luiz C

Jun 11, 2019

not challenging enough