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

4.9
stars
63,479 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

AA

Oct 22, 2017

Assignment in week 2 could not tell the difference between 'a-=b' and 'a=a-b' and marked the former as incorrect even though they are the same and gave the same output. Other than that, a great course

SC

Feb 14, 2018

A valuable course in enhancing one's ability to properly identify the correct Hyperparameter to tune according to the situation - a critical task in day-to-day debugging & tuning of an algorithm.

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5051 - 5075 of 7,283 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Juan D

•

Nov 13, 2017

Excelente curso

By Stoyan A

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Nov 1, 2017

Great material.

By 刘竞博

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Oct 29, 2017

could be useful

By Rashid A

•

Oct 29, 2017

Awesome course!

By Siddhartha J

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Oct 27, 2017

Great course !!

By jocundhang

•

Oct 15, 2017

对提高模型的正确率有很大的帮助

By Ripunjoy G

•

Oct 11, 2017

Great teaching.

By 小林Andy

•

Oct 6, 2017

介绍了很多新的知识，非常有帮助

By Limber

•

Sep 28, 2017

Really helpful.

By Paddy M

•

Sep 17, 2017

Very practical.

By Gowri S

•

Sep 9, 2017

Awesome Course.

By Ce J

•

Sep 5, 2017

really helpful~

By Xuan L

•

Aug 25, 2017

Great tutorial!

By Zhi H

•

Aug 20, 2017

very practical!

By Jia Y

•

Aug 14, 2017

Very good MOOC!

By Randal E

•

Jul 7, 2023

knowledge good

By Areeg F

•

Jan 17, 2023

awesomeeeeeeee

By Arkan N

•

Sep 30, 2022

great course!

By Yahya S A

•

Aug 18, 2022

Great course!

By Abhishek S

•

Jul 28, 2022

Awesome course

By Youness B

•

Aug 1, 2021

très important

By Dr. K B P I

•

Jul 4, 2021

Great Learning

By Giang P T

•

Apr 27, 2021

Awesome course

By Jose R C V

•

Apr 3, 2021

It's excellent

By preeti s

•

Mar 16, 2021

Great learning