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

4.9
stars
63,424 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

DD

Mar 29, 2020

I have done two courses under Andrew ng and I am grateful to Coursera for their highly optimised and easily learning course structure. It has greatly help me gain confidence in this field. Thank you.

AM

Oct 9, 2019

I really enjoyed this course. Many details are given here that are crucial to gain experience and tips on things that looks easy at first sight but are important for a faster ML project implementation

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7051 - 7075 of 7,279 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Lili W

•

Aug 17, 2018

Good course

By Raghavendra R

•

Feb 5, 2018

Nice Course

By JaesungHuh

•

Aug 20, 2017

Good course

By Abdul-wahab M

•

Feb 9, 2025

is alright

By Mirta M R H

•

Jul 21, 2020

Muy bueno!

By Yashika S

•

Sep 10, 2019

tough one

By Mor K

•

Aug 30, 2019

excellent

By Luis E O

•

May 17, 2019

Excelente

By IURII B

•

Apr 3, 2018

Thank you

By MD. E k

•

Apr 30, 2020

was good

By Suman D

•

Jul 27, 2018

Awesome.

By Davit K

•

Jul 13, 2018

easy bb

By 刘倬瑞

•

Nov 2, 2017

helpful

By Suraj P

•

Jul 17, 2020

Great!

By SUMIT Y

•

Jul 4, 2020

NICE!!

By qiaohong

•

Oct 28, 2019

作业过于简单

By Sonia D

•

Jan 30, 2019

Useful

By DEEPOO M

•

Jul 18, 2020

great

By Johannes C

•

Aug 29, 2017

Good!

By Pallavi N

•

Jun 26, 2022

Nice

By Aditya S

•

Aug 9, 2019

good

By Łukasz Z

•

May 2, 2019

bugs

By Preethi A

•

Jul 3, 2018

good

By Dheeraj M P

•

Feb 23, 2018

good

By Darwin S

•

May 20, 2022

ok