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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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251 - 275 of 1,245 Reviews for Convolutional Neural Networks in TensorFlow

By Marcin Ś

Aug 30, 2021

Pretty good introduction to CNNs with Tensorflow. Great idea with exercise assignments to finish milestones in the course!

By Bonthu S

Apr 22, 2021

Simply the best course to implement convolution neural network in tensorflow but don't look for deep understanding of CNN.

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 Farid A

May 18, 2022

awesome teacher

very practical hands-on assignments and excerices

helpfull assistants for problem quick problem solving

By Márton B

Jun 4, 2021

I think this is a useful, understandable and practical course. I liked it. The codes in Jupyter notebooks are very good.

By João R

Mar 23, 2021

It's a great course to get the basics of CNN. The last lab demands some tricks that are covered in the discussion forum.

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 mah'd a

Feb 4, 2023

Excellent Course for exploring aspects of a Convolutional Neural Network in TensorFlow and its use cases in real life.

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.

By Peter L

Mar 19, 2020

Great grounding so far in tensorflow. Looking forward to cracking on with the next 2 to complete the specialisation.

By Thomas M

Feb 3, 2021

Good course, coding challenges need more emphasis on the deep learning models, would like to code more from scratch

By Teshome A

Mar 14, 2022

Well designed, engaging and learn a lot from assigment. It is easy to understand and learn. Thak you keep it up.

By SUBRAMANYAM R V

Aug 4, 2021

It's really a great experience. I will never going to regret in taking this course. It taught me a lot of things.

By Tarin N

Jun 27, 2020

This course is essential for any data scientist to learn about Convolutional Neural Networks by using TensorFlow.

By Ga W

Mar 18, 2020

a lot of interesting notebooks that help to understand to tensorflow(keras) functionality on handling image data.

By Harish S

Aug 4, 2019

Learn't best practices, which I can directly use in work. Content could have been little bit more longer/tougher.