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

6,606 ratings
1,029 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 14, 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..

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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651 - 675 of 1,021 Reviews for Convolutional Neural Networks in TensorFlow

By Solayman H E

Jul 11, 2020

Very Good

By DongJun J

May 14, 2020

very good

By Tarit S

May 14, 2020

very nice

By Shahzeb I

Nov 20, 2019


By M n n

Oct 22, 2019

Good One!

By Joe J

Sep 23, 2019



Aug 30, 2019


By Hasib Z

Aug 16, 2019

The best!

By Gaurav R P

Aug 8, 2019

Too basic

By Yap C Y

Mar 13, 2021

Good CNN

By Gonzalo G

Feb 13, 2021


By Mohamed M F

Aug 2, 2020


By Christos M

Mar 21, 2020


By Levina A

Apr 9, 2021

So cool

By Al F N P M

Mar 23, 2021


By Miseon K

Feb 2, 2021


By Shailesh K

Aug 4, 2020


By Vaibhav v s

Jun 2, 2020


By Mezahir R

Apr 17, 2020


By Santiago G

Mar 12, 2020


By hitashu k

Jan 13, 2020


By Kavya B

Dec 5, 2019


By Mochammad G R M

Apr 2, 2021


By Jeff L J D

Nov 5, 2020


By Josef N

Jun 19, 2020