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Learner Reviews & Feedback for Convolutional Neural Networks in TensorFlow by

5,356 ratings
805 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


Mar 15, 2020

Nice experience taking this course. Precise and to the point introduction of topics and a really nice head start into practical aspects of Computer Vision and using the amazing tensorflow framework..


Sep 12, 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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626 - 650 of 798 Reviews for Convolutional Neural Networks in TensorFlow

By Andy L

Mar 23, 2020

A lot of repetition. Stack traces, and error messages in the notebooks are less than clear

By Fadhel A

Jan 25, 2020

I hope it will be upgraded with graded weekly test (case study and building some models).

By Marcos V G J

Sep 25, 2019

Good content, but lacks exercises that forces us to code ourselves to solve the problemas

By Shaun K

Mar 10, 2020

Found course a little lighter compared to other deeplearning courses. But great overall.

By Lei W

Oct 30, 2019

will be nice to have non-third party programming exercises that are graded by Coursera

By Donal B

Oct 18, 2019

Excellent course. Would have liked graded coding assignments like in the first course.

By Eduardo Z

Jun 24, 2020

Great! Had some difficulties with the last excercise. But the rest was OK. Thanks!

By Phuoc H L

Nov 14, 2019

More exercises should be available for students to practice and test their skills.

By Eran Y

Jun 20, 2020

Some references to relevant code in tests would be nice, don't send me searching.

By Gregor F

Jan 07, 2020

Straight to point with a lot of useful techniques! Interesting examples as well.


Aug 26, 2020

Nice course to learn about the basics about how to implement CNN's with keras.

By Sebastian M A

Dec 06, 2019

No le pongo las 5 estrellas por la falta de ejercicios prácticos calificables.

By Arun P R

Apr 18, 2020

Need to more specific about the instructions given for Programming Assignment

By Damon W

Oct 08, 2019

Good practical course. A bit heavy on visual images, but very informative.

By Ma Y

Jun 19, 2020

Excellent materials and assignments! May be lectures can be a bit longer.

By Shaun M

Feb 23, 2020

greaded assignments are needed as they help to understand the code better

By Ruben A M

Aug 20, 2020

the course is good, however, I feel that the content is stretched a lot.

By Prashant

Aug 28, 2020

Last week excercise was a little bit challenging ,overall great course.

By vikas l

Jun 07, 2020

This Covers pretty well more than basics and dig little deep into CNNs.

By Ahmed K

May 19, 2020

Focusing more on the code for python beginners would be much better!

By Rishabh B

Feb 01, 2020

Could have had tougher exercises. Great basics course nevertheless!

By Xiangzhen Z

Aug 18, 2019

a little bit too easy compared to Andrew Ng's deep learning course.

By Zhou D

Jun 19, 2019

actually I hope there will be the implementation of detection task

By Amardeep S

Dec 29, 2019

The homework assignments should be required and more challenging

By Sharvil G

Aug 06, 2019

Transfer learning part should have been in more detail. Thanks.