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

4.9
stars
63,156 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

NA

Jan 13, 2020

After completion of this course I know which values to look at if my ML model is not performing up to the task. It is a detailed but not too complicated course to understand the parameters used by ML.

HD

Dec 5, 2019

I enjoyed it, it is really helpful, id like to have the oportunity to implement all these deeply in a real example.

the only thing i didn't have completely clear is the barch norm, it is so confuse

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5326 - 5350 of 7,249 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By R11

•

Nov 20, 2017

Very helpful

By Ho Y C

•

Nov 17, 2017

Excellent!!!

By Melvin E

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Oct 8, 2017

excellent!!!

By Manuel T

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Oct 2, 2017

Great course

By Amar g

•

Sep 29, 2017

Great course

By spencer z

•

Sep 27, 2017

great course

By Xinyu W

•

Sep 9, 2017

Great class!

By Peng J

•

Aug 24, 2017

Learn a lot.

By Xu B

•

Aug 21, 2017

great course

By phung h x

•

Aug 12, 2017

great course

By Sultan Z

•

Nov 30, 2023

Outstanding

By multi c

•

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!!