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

4.7
stars
8,159 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

JM

Sep 11, 2019

great introductory stuff, great way to keep in touch with tensorflow's new tools, and the instructor is absolutely phenomenal. love the enthusiasm and the interactions with andrew are a joy to watch.

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!

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601 - 625 of 1,264 Reviews for Convolutional Neural Networks in TensorFlow

By Rungroj R

Feb 1, 2024

somewhat difficult but valuable

By Justin H

Jul 7, 2023

I learnt a great deal. Thanks!

By rajkumar p

Jun 30, 2020

Very good course For beginners.

By J C G

Nov 5, 2019

Interesting and useful. Thanks!

By Daniel M

Oct 29, 2019

I learned a lot, thank you all!

By Oleh Y

Jul 23, 2023

The catchy foundation is known

By ANTHONY D M G

Oct 13, 2020

22/5000

The course is excellent

By Schuyler B

Sep 3, 2020

This is a fantastic experience

By Ben - C L Y

Jun 16, 2020

Really like the last exercise!

By Mario T

Jul 27, 2019

Great course. Thanks Laurence!

By Mohammad R

Jul 23, 2019

Thanks for this Amazing course

By Sarvesh V K

Dec 14, 2022

Very informative and helpful.

By Darshan L

May 28, 2020

Nice content about the course

By Shikhar S

Mar 17, 2020

Best course for Deep Learning

By Andrii C

Dec 10, 2019

I am grateful for this course

By Soharab H

Dec 4, 2019

Precise, apt and to the pint.

By Mars W

Aug 10, 2019

very good course,thanks a lot

By Thomas V

Oct 18, 2023

Very cool and deep insights!

By Sen V

May 23, 2021

Challenging, yet rewarding!!

By Nick R

Mar 19, 2021

Excellent hands on learning!

By Zecheng W

Jan 17, 2021

Well structured and designed

By Jacky T

Jan 3, 2021

Very nice fundamental course

By M. T A

Aug 17, 2020

best course best instructors

By Shaik S

Aug 3, 2020

Best applied learning course

By Subin S

Apr 1, 2020

great.....truly loved it!!!!