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

4.7
stars
8,158 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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826 - 850 of 1,264 Reviews for Convolutional Neural Networks in TensorFlow

By Santiago G

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Mar 12, 2020

Thanks!

By hitashu k

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Jan 13, 2020

AWESOME

By Kavya B

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Dec 5, 2019

awesome

By Muchammad W A

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Oct 29, 2024

mantap

By wokee

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May 13, 2022

superb

By Thuy N T

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Aug 25, 2021

useful

By mochammad g r

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Apr 2, 2021

Thanks

By Jeff D

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Nov 5, 2020

Thanks

By Josef N

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Jun 19, 2020

great!

By Омархалиева Н

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Apr 6, 2024

great

By Zain A

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Mar 19, 2023

noice

By Sarath S

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Sep 16, 2021

great

By Ben B

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May 6, 2020

Great

By Wira A S

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May 3, 2020

great

By Zona D

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Nov 20, 2024

Nice

By Yossi R S

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Oct 31, 2024

good

By Dini P U

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Nov 2, 2023

good

By SRIKANTH K

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Jun 28, 2022

good

By Muhammad N

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Aug 10, 2021

nice

By Ken T

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Aug 8, 2021

good

By Suci A S

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Jun 19, 2021

good

By Alivia Z

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Apr 25, 2021

wowo

By Roberto

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Apr 16, 2021

good

By Ahmad H N

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Mar 26, 2021

Good

By Indah D S

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Mar 19, 2021

cool