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

4.7
stars
8,024 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 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

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!

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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951 - 975 of 1,245 Reviews for Convolutional Neural Networks in TensorFlow

By Carlos D R

Feb 14, 2020

Es una gran continuación al curso anterior. No se puede hacer sin haber hecho previamente el otro curso

By Arpit G

Jan 7, 2021

Good and clear explanation of the basic concepts . But assignements quality can be certainly improved.

By Dr P M P

Dec 19, 2019

Course is good to start but it should include other aspects of neural network than image processing.

By Muhammad A B

Oct 18, 2020

This was hard, but I feel like I'm getting the hang of it. First course now feels awfully easy lol!

By Yeo L K

Oct 18, 2020

A little too simple, would appreciate a deeper dive into the classes and methods of the tf library.

By ERIC W D S

Jul 21, 2020

This rate refers to my global opinion. I had some trouble in the third week project send. Thanks.

By Sai S V K

Jun 28, 2020

Assignments could be a little more tedious. Over all explanation of content in the course is good

By Meenali S

Oct 29, 2021

Instructions of assignments for Course 2-Week 4 were not clear. Overall the course is very good.

By Antoine A

Jan 2, 2021

Good course overall, but the exercise of the end of week 4 was really badly conceived/explained

By Ana C

Jan 25, 2020

Very interesting course. I've learned a lot. I would like to have a little more advanced topics

By Tudor M

Mar 11, 2021

Some assignments are quite vague and can take up a lot of time to findout what the problem is.

By Yuliya M

Jan 6, 2020

It's a wonderful course! Pity that the data for the fourth exercise are not available anymore.

By Dr. H H W

Sep 5, 2019

Great insight for the practical aspect of TensorFlow, add value on top of Andrew's DL courses.

By Shivakeshavan

Aug 7, 2020

Course was great but instructions for the coding exercises could be a little more explicit.

By Andy L

Mar 23, 2020

A lot of repetition. Stack traces, and error messages in the notebooks are less than clear

By Luis M

Sep 14, 2021

For the most part it is easy but the project really makes you put effort and mind into it.

By chintamani m

May 27, 2021

Enjoyed this course thoroughly by getting loads of useful tips and training from Laurence

By Fadhel A

Jan 25, 2020

I hope it will be upgraded with graded weekly test (case study and building some models).

By Marcos V G J

Sep 25, 2019

Good content, but lacks exercises that forces us to code ourselves to solve the problemas

By CARLOS R H

Jan 14, 2021

Incredible course. Only comment is that the last exercise wasn't explained very clearly.

By Shaun K

Mar 10, 2020

Found course a little lighter compared to other deeplearning courses. But great overall.

By Lei W

Oct 30, 2019

will be nice to have non-third party programming exercises that are graded by Coursera

By Donal B

Oct 18, 2019

Excellent course. Would have liked graded coding assignments like in the first course.

By Heinz D

Nov 21, 2021

Good lecturer, interesting content. But do not expect to cover the subject in depth.

By Hy G

Jun 6, 2021

last assignment involve other scope such as numpy, hence more hints would be helpful