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

7,641 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 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


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!


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.

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876 - 900 of 1,178 Reviews for Convolutional Neural Networks in TensorFlow

By revant t

May 20, 2020

Programming assignments could have been better. The programming assignments at the end of each week were not challenging enough.

By Hang N

Feb 26, 2020

This course offers more executable functions than actually helping you understand (in-depth) how neural network really works.

By Parikshit N

Jul 12, 2021

Good content and Lawrences technique was great. But it took a bit longer where assistance was required during assignments.

By Przemysław D

Sep 27, 2019

Instructors are really good, but in my opinion, this course should contain Object Detection and Object Segmentation topis.

By Kaustubh H

Jan 2, 2023

The Course is amazing , But the voice of the instructor is bit low ,I would suggest to improve the loudness of the voice.

By 野中アリア渓

Aug 23, 2022

Some of the preprocessing required during the excersize were really tough. It'd be helpful if I got a little more hints.

By Balaji K

Aug 7, 2020

Short, crisp and to-the-point discussions... Complex practice exercises designed as easy ones for learners. Well done !

By Bhabani D

Jan 5, 2020

Great introductory course to learn the application of TensorFlow with Keras in the field of Convolutional Neural Network.

By Ricardo F

Mar 31, 2020

Excelent course! The examples could be more elaborated, but this is a minor issue. Congratulations, and thanks a lot!

By Benjamin S

Oct 12, 2020

A lot of learning material to digest but at the the end of the course you really have the feeling you've progressed.

By Ibrahim M

May 6, 2021

Programming assignments need a little more comments and illustration to save more time. But it still amazing course

By Wiput T

Jul 29, 2020

It the great course and good explainataion. Tensorflow 2.0 is quite good for quick development tool for AIT project

By Brian D O

Mar 11, 2021

The lectures are great but some of the programming assignments deviate from the code taught and lack guidance.

By Josian Q

May 1, 2020

Overall it was really good. Some of the code needed tweaking and the final test was not so easy to get right.

By Jaap d V

Mar 11, 2020

Thank for a great course. Please make the code samples it work for TF2.X the TF1.X has run out of shelf life

By Kevin H

Apr 12, 2020

End assignment uses skills not practiced in the course itself. Otherwise very smooth and well presented.

By Carlos D R

Feb 14, 2020

Es una gran continuación al curso anterior. No se puede hacer sin haber hecho previamente el otro curso

By Arpit G

Jan 7, 2021

Good and clear explanation of the basic concepts . But assignements quality can be certainly improved.

By Dr P M P

Dec 19, 2019

Course is good to start but it should include other aspects of neural network than image processing.

By Muhammad A B

Oct 18, 2020

This was hard, but I feel like I'm getting the hang of it. First course now feels awfully easy lol!

By Yeo L K

Oct 18, 2020

A little too simple, would appreciate a deeper dive into the classes and methods of the tf library.


Jul 21, 2020

This rate refers to my global opinion. I had some trouble in the third week project send. Thanks.

By Sai S V K

Jun 28, 2020

Assignments could be a little more tedious. Over all explanation of content in the course is good

By Meenali S

Oct 29, 2021

Instructions of assignments for Course 2-Week 4 were not clear. Overall the course is very good.

By Antoine A

Jan 2, 2021

Good course overall, but the exercise of the end of week 4 was really badly conceived/explained