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

6,981 ratings
1,087 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

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!

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..

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851 - 875 of 1,087 Reviews for Convolutional Neural Networks in TensorFlow

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

By Bethel R H

May 11, 2020

One of the best courses offered by community

By Fernando P

Jul 30, 2021

amazing!! I really understand the path with TensorFlow!!

By Adnan Q

May 4, 2020

Very good course dealing with image convolutions and CNN

By Paul Z

Dec 19, 2020

Very helpful, however, the last exercise was misguided.

By Salem S

Apr 2, 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 6, 2019

Good, but expected more, for example object detection.

By Haoran C

Sep 4, 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