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Learner Reviews & Feedback for Convolutional Neural Networks in TensorFlow by deeplearning.ai

4.7
stars
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 deeplearning.ai 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 deeplearning.ai 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

RB

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..

JM

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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651 - 675 of 798 Reviews for Convolutional Neural Networks in TensorFlow

By Ifrah M

May 14, 2020

A little bit of more explanation of the notebooks are required

By Muhammad U

Aug 18, 2019

A well taught course with interesting coursework and projects

By Bethel R H

May 11, 2020

One of the best courses offered by deeplearning.ai community

By Adnan Q

May 04, 2020

Very good course dealing with image convolutions and CNN

By Salem S

Apr 02, 2020

apart from the technical issue, the course is fantastic

By Vitalii S

Nov 25, 2019

Too easy with good background and fast passing course.

By Vittorio R

Oct 06, 2019

Good, but expected more, for example object detection.

By 陈浩然

Sep 05, 2019

Please transfer the notebook from CoLab to Coursera.

By Robert G

Dec 11, 2019

I would like to see examples with videos, yolo, etc

By KHODJA

Oct 02, 2019

A more advanced course would be highly appreciated.

By Ruiwen W

Jul 23, 2020

Assignment material not very aligned with lectures

By Gerardo S

Sep 16, 2020

I feel like this series of courses is too narrow

By Ahmet K

Dec 30, 2019

Nice course! All detailed and explained. Thanks!

By Jay T

Sep 01, 2020

A bit hard to understand the final assignment.

By Kailyn W

Sep 09, 2019

I need more coding practice, not just quizzes.

By Michel M

Aug 06, 2019

The final assignment was somewhat a steep step

By Zhi Z

Jul 06, 2019

A good course for Keras but not for tensoflow.

By Prabhat K G

May 29, 2020

Last assignment needs much more explanation

By RAVI P

Jun 17, 2020

Programming exercises are a bit confusing.

By Dr. S G

Apr 17, 2020

Learned many things about computer vision.

By Zanuar E

May 19, 2020

Good Course, I have learned a lot from it

By zhizhen w

Aug 10, 2020

a bit too easy for professional engineer

By Yu-Chen L

Jun 18, 2020

Maybe could be better with more content.

By Shankar K M

Feb 10, 2020

Very repetitive examples and howe works.

By rajesh t

Jan 12, 2020

Need more depth and real life scenarios.