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Learner Reviews & Feedback for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization by DeepLearning.AI

4.9
stars
63,489 ratings

About the Course

In the second course of the Deep Learning Specialization, you will open the deep learning black box to understand the processes that drive performance and generate good results systematically. By the end, you will learn the best practices to train and develop test sets and analyze bias/variance for building deep learning applications; be able to use standard neural network techniques such as initialization, L2 and dropout regularization, hyperparameter tuning, batch normalization, and gradient checking; implement and apply a variety of optimization algorithms, such as mini-batch gradient descent, Momentum, RMSprop and Adam, and check for their convergence; and implement a neural network in TensorFlow. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

Top reviews

NC

Aug 18, 2017

Yet another excellent course by Professor Ng! Really helped me gain a detailed understanding of optimization techniques such as RMSprop and Adam, as well as the inner workings of batch normalization.

BA

May 31, 2020

Very good course, useful and smart. Some of the example are on tensorflow 1 but I think that they will update them soon to keras tf2 Thank you!I will pass on what I have learned here to undergrads :)

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5351 - 5375 of 7,283 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By yash g

•

Nov 21, 2024

very nice!!

By Sultan Z

•

Nov 30, 2023

Outstanding

By Dr. M S

•

Jul 14, 2023

Outstanding

By Glowstorm

•

Aug 11, 2022

good course

By Maram A A

•

Aug 10, 2022

good👍👍👍

By Baptiste C

•

May 3, 2022

Thank you !

By Minh T N T

•

Apr 28, 2022

Good Course

By Trung C T

•

Mar 14, 2022

Very useful

By Zhuomin Z

•

Jan 14, 2022

good course

By 567_RUCHIKA K

•

Sep 14, 2021

good course

By Omar K M

•

Aug 23, 2021

good course

By Gilberto B

•

Aug 7, 2021

Excellent!!

By Bùi Q H

•

Jul 27, 2021

Nice course

By Andrea L G

•

Jan 30, 2021

Interesting

By Qi G

•

Jan 10, 2021

super good!

By Olivier R

•

Dec 1, 2020

Thumbs up!!

By Sri R

•

Nov 19, 2020

Exceptional

By Qiong L

•

Sep 28, 2020

thank you !

By Vanaja M

•

Sep 9, 2020

nice course

By Adarsh J

•

Aug 25, 2020

really good

By Shivani N

•

Aug 18, 2020

best course

By Gasan N

•

Aug 10, 2020

Great work!

By PAVITHRA B

•

Aug 10, 2020

Good course

By mayank m

•

Jul 31, 2020

nice course

By Sirisha R

•

Jul 28, 2020

Enjoyed it!