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

4.7
stars
6,067 ratings
925 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

JM
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.

RB
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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676 - 700 of 920 Reviews for Convolutional Neural Networks in TensorFlow

By Ujjwal G

Nov 16, 2019

I think most much of the course conent was same as the first course, this course could have been a little more advanced. But overall a great place to start.

By Moritz R

Jan 24, 2021

Very nice the step from the first course was really nice. The achievements were harder to reach an all over the cose was less buggy than the first one. :)

By Estefania T

Jun 2, 2020

The contents are a bit light from my point of view. I get it is to be accessible for more people but math and explanations are in some cases important

By Subham S

Dec 23, 2019

The course content was quite good and overall understandable but the exercises and quizzes were quite easy, they could have been more challenging

By Pray S

Apr 23, 2020

The hand sign assignment need more explanation about using flow object from ImageDataGenerator since I just know only flow_from_directory object

By 屈佑平

Nov 28, 2020

Exercise_4_Multi_class_classifier_Question-FINAL has problem if you entirely follow the tips, you can find the correct code in the forums.

By Gianluca T

Sep 17, 2020

Very nice and interesting videos, cool concepts, amazing datasets. Exercises lack sometimes clear objectives, or provide unclear feedbacks

By Rodolfo V d A

Jul 10, 2020

I guess one thing was not studied, the method .flow() which get the images generated by keras with the dataset labeled for the final test.

By Shubham S

Dec 6, 2020

Lectures videos are amazing but the only problem in programming assignments. Programming assignments should have been properly designed..

By Abhiram

Mar 12, 2020

More detail videos or links,examples for important techniques like dropouts and for like multi class classification which may be optional

By Madhu

Dec 13, 2020

Content was great. It was insightful. However I felt, in few assignments, the instructions were misleading and took some to figure out.

By Ghifari A F

May 14, 2020

The course is very useful for practical purposes. But this course didn't cover some advanced topics such as object detection and GAN.

By Nikos R

Oct 19, 2020

Very good course to get you started on convolutional neural networks. Week two had a small problem with the programming assignment.

By Brian ( B

Oct 23, 2019

very practical courses on implementation of CNN in tensorflow. Suggest student also take the deeplearning series with this series.

By Revant T

May 20, 2020

Programming assignments could have been better. The programming assignments at the end of each week were not challenging enough.

By Hang N

Feb 26, 2020

This course offers more executable functions than actually helping you understand (in-depth) how neural network really works.

By Przemysław D

Sep 27, 2019

Instructors are really good, but in my opinion, this course should contain Object Detection and Object Segmentation topis.

By Balaji K

Aug 7, 2020

Short, crisp and to-the-point discussions... Complex practice exercises designed as easy ones for learners. Well done !

By Bhabani D

Jan 5, 2020

Great introductory course to learn the application of TensorFlow with Keras in the field of Convolutional Neural Network.

By Ricardo F

Mar 31, 2020

Excelent course! The examples could be more elaborated, but this is a minor issue. Congratulations, and thanks a lot!

By Benjamin S

Oct 12, 2020

A lot of learning material to digest but at the the end of the course you really have the feeling you've progressed.

By Wiput T

Jul 29, 2020

It the great course and good explainataion. Tensorflow 2.0 is quite good for quick development tool for AIT project

By Josian Q

May 1, 2020

Overall it was really good. Some of the code needed tweaking and the final test was not so easy to get right.

By Jaap d V

Mar 11, 2020

Thank for a great course. Please make the code samples it work for TF2.X the TF1.X has run out of shelf life

By Kevin H

Apr 12, 2020

End assignment uses skills not practiced in the course itself. Otherwise very smooth and well presented.