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

4.7
stars
8,217 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 DeepLearning.AI TensorFlow Developer 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 Developer 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

RR

Jun 14, 2020

Great course to learn newer aspects of TF. For me a great revision of ConvNets and a confidence builder. If there's one thing I'd fix, it would be the autograder and how often it crashes.

AR

Oct 2, 2019

The course is really nice. But would be better if the convolutional layers were a bit more detailed. It was a bit difficult for me to understand all the parameters e.g: input/output filter size.

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601 - 625 of 1,269 Reviews for Convolutional Neural Networks in TensorFlow

By Shuhei O

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Dec 31, 2019

fantastic material and instructor

By Efstathios C

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Dec 14, 2019

Thank you Laurance! Thank you Ng!

By YUXIN Z

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Dec 22, 2020

Excellent and very practical !!!

By Rungroj R

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Feb 1, 2024

somewhat difficult but valuable

By Justin H

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Jul 7, 2023

I learnt a great deal. Thanks!

By rajkumar p

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Jun 30, 2020

Very good course For beginners.

By J C G

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Nov 6, 2019

Interesting and useful. Thanks!

By Daniel M

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Oct 29, 2019

I learned a lot, thank you all!

By Oleh Y

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Jul 23, 2023

The catchy foundation is known

By ANTHONY D M G

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Oct 14, 2020

22/5000

The course is excellent

By Schuyler B

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Sep 4, 2020

This is a fantastic experience

By Ben - C L Y

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Jun 17, 2020

Really like the last exercise!

By Mario T

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Jul 28, 2019

Great course. Thanks Laurence!

By Mohammad R

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Jul 23, 2019

Thanks for this Amazing course

By Sarvesh V K

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Dec 14, 2022

Very informative and helpful.

By Darshan L

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May 28, 2020

Nice content about the course

By Shikhar S

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Mar 17, 2020

Best course for Deep Learning

By Andrii C

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Dec 11, 2019

I am grateful for this course

By Soharab H

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Dec 5, 2019

Precise, apt and to the pint.

By Mars W

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Aug 10, 2019

very good course，thanks a lot

By Thomas V

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Oct 18, 2023

Very cool and deep insights!

By Sen V

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May 24, 2021

Challenging, yet rewarding!!

By Nick R

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Mar 20, 2021

Excellent hands on learning!

By Zecheng W

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Jan 18, 2021

Well structured and designed

By Jacky T

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Jan 3, 2021

Very nice fundamental course