Chevron Left
Back to Convolutional Neural Networks in TensorFlow

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

7,590 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


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:

976 - 1000 of 1,166 Reviews for Convolutional Neural Networks in TensorFlow

By Lorenzo R N

Dec 9, 2020

By Subhendu R M

Aug 12, 2020

By Rohit K S

Sep 18, 2020

By Walter G

Nov 29, 2019

By Guilherme R M

Jun 10, 2019

By Loutzidis A

Mar 16, 2020

By Prabesh G

May 23, 2019

By tanguy c

Apr 24, 2020

By j_lokesh

Jun 15, 2020

By Patrick L

Dec 26, 2019

By Vivek S

Jun 24, 2019

By Thắng N H

Jun 6, 2022

By Neeraj K

May 28, 2022

By Paulo A C

Apr 23, 2020

By ashraf s t m

Jul 31, 2019

By Venkatesh S

Dec 2, 2019

By Bingcheng L

Nov 12, 2019

By Suraj

Feb 11, 2020

By Hamzeh A

Aug 6, 2019

By Omar M

Jul 16, 2019

By Sung-Hyun S

Aug 25, 2021

By Egi R T

Jul 9, 2022

By S. M S H

Sep 21, 2020

By Anastasia C

Apr 8, 2021

By Michael M

Jul 26, 2019