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

4.7
stars
8,150 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

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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801 - 825 of 1,262 Reviews for Convolutional Neural Networks in TensorFlow

By Tarit S

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May 14, 2020

very nice

By Shahzeb I

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Nov 20, 2019

excellent

By M n n

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Oct 22, 2019

Good One!

By Joe J

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Sep 23, 2019

excellent

By Deleted A

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Aug 30, 2019

excellent

By Hasib Z

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Aug 16, 2019

The best!

By Gaurav P

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Aug 8, 2019

Too basic

By DANIEL E

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Aug 9, 2023

nice one

By Mohammad K

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Oct 6, 2022

perfect

By Daniel K

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Aug 16, 2021

Perfect!

By Yap C Y

•

Mar 13, 2021

Good CNN

By Gonzalo G N

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Feb 13, 2021

Sublime!

By Mohamed M F

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Aug 2, 2020

Amazing!

By Chris M

•

Mar 21, 2020

Perfect!

By Deni K

•

Oct 30, 2024

amazing

By Muhammad K I

•

Apr 27, 2024

awesome

By Ricky A

•

Apr 1, 2022

Amazing

By Mohamad T

•

Jan 1, 2022

perfect

By Levina A

•

Apr 9, 2021

So cool

By alfatoni n

•

Mar 23, 2021

Finally

By MiSeon K

•

Feb 2, 2021

Thanks!

By Shailesh K

•

Aug 4, 2020

Awesome

By Vaibhav v s

•

Jun 2, 2020

Awesome

By Mazahir R

•

Apr 17, 2020

Perfect

By Santiago G

•

Mar 12, 2020

Thanks!