Chevron Left
Back to Convolutional Neural Networks in TensorFlow

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

6,434 ratings
1,002 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!

Filter by:

776 - 800 of 999 Reviews for Convolutional Neural Networks in TensorFlow

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 7, 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 6, 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 8, 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 Chidvilas K R

Oct 5, 2020

The course could have been a bit more complicated. It feels too simple.

By Prashant

Aug 28, 2020

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

By vikas l

Jun 7, 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 1, 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 Sergio R

Dec 9, 2020

Excellent course, the teacher is good, I love learning all, thanks

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 Longchao J

Feb 6, 2021

The last assignment is poorly designed. Others are good enough.

By Sharvil G

Aug 6, 2019

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

By Ifrah M

May 14, 2020

A little bit of more explanation of the notebooks are required

By Daniel A O C

Apr 3, 2021

El curso es útil para implementar una red convolucional desde

By Muhammad U

Aug 18, 2019

A well taught course with interesting coursework and projects