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

4.7
stars
6,208 ratings
961 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.

MS
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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201 - 225 of 955 Reviews for Convolutional Neural Networks in TensorFlow

By Loveprit S

Jun 12, 2020

This course is useful to those who have basic understanding of computer vision and want to know how they can use TensorFlow in it.

By Selçuk K

Mar 31, 2020

Great course. Thank you, Laurence.

However, I should admit submitting the exercises is a pain sometimes. Discussions help though.

By Juan S

Nov 30, 2020

Genial el curso. Muchos ejemplos prácticos y usables para todo tipo de situaciones. Me gusta mucho como explican los profesores.

By Pushkaraj J S

Jul 11, 2020

Great course. Introduces you to various data generation techniques which can be really useful when dealing with smaller dataset.

By 邹波波

Sep 24, 2019

The course is very great! You can see how convolution works, image processing, transfer learning and so on. Thank you teachers!

By Norifumi I

Dec 13, 2020

Although the topics are getting more complex, I liked how the lecturer keeps it simple and relates each data to the real world.

By Akhil K

Jun 22, 2019

This course worked as a great reference for my project on Neural Networks. This is one of the great and well-structured course.

By Gustavo A

Aug 10, 2019

I enjoyed this course a lot, but I missed the code evaluation step. On the other hand, the content was as good as it has been.

By Dustin Z

Jun 27, 2020

Fun course. A good balance of easy and challenging material. The lessons based primarily on notebooks, and are very hands-on.

By Jay H

Jun 15, 2020

It was a very helpful course. The discussions forum help a bit. Maybe, more questions asked or answers could help even more.

By Diego O S

Jan 12, 2021

Really clear and with the exact amount of examples. (I would like to see more examples and not only the ones seen in class)

By VAGHELA H N S

Jun 18, 2020

course is well designed. The codes and notebooks provided in the course can be very much helpful for any beginner to learn.

By Lee T C

Jun 18, 2020

Very insightful and involving course that teaches you how to perform image classification with Convolution Neural Networks.

By Zarinah C

Feb 20, 2021

One of the best online courses I've taken. Well explained, accessible, and references so that you can deep dive as needed.

By SRIKANTH T

Sep 12, 2020

the course in nice , the explanation given by Laurence Moroney is excellent , so the course is highly recommended to take

By Gogul I

Jun 22, 2019

Amazing course to learn concepts such as Dropouts, Augmentation and Transfer Learning to solve real world image problems.

By Carlos S

May 22, 2020

Great course! It actually develops very fast upon the fundamentals covered by Andrew in the Deep Learning Specialization

By George D

Aug 8, 2019

Very good intro on the subject. Little bit too much hand holding but good overall for complete new folks to the subject.

By Rukshan J S

Apr 27, 2020

Very well put out course. Gradually increasing the challenge level of exercise is really appreciated! Thanks, Coursera!

By Sanjay R

Jul 25, 2019

A very good approach to make beginners feel like home. It's pretty clear and notebooks is also very easy to understand.

By sushant p

Nov 23, 2019

Wonderful Course on Convolutional Neural Network Using TF. Having Base knowledge of CNN and DNN Will help immensely !!

By Akash S

Aug 24, 2020

Amazing! I learnt so many exciting things. Completed 8 weeks in 2 weeks! Can't wait to get to Laurence's next course!

By Satyam s

Apr 18, 2020

This course has been starting point of my deep learning carrier,

I have learned a lot from this course.

Thanks so much.

By Pushpak G

Sep 5, 2020

Again a good course which covers a lot of practical implementation of Conv nets and image classification.

Appreciated

By Laode M F

Apr 26, 2020

Great course to learn computer vision. You'll learn augmentation, transfer learning, and multi class classification.