Chevron Left
Back to Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

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

4.9
stars
63,175 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

AM

Oct 8, 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

XG

Oct 30, 2017

Thank you Andrew!! I know start to use Tensorflow, however, this tool is not well for a research goal. Maybe, pytorch could be considered in the future!! And let us know how to use pytorch in Windows.

Filter by:

4701 - 4725 of 7,253 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Kurisu L

Oct 25, 2017

非常棒的课程,吴老师深入浅出,让我们d

By Andre W

Oct 4, 2017

I love this course!

By cece h

Oct 2, 2017

I LOVE THIS COURSE.

By 杨帅

Oct 1, 2017

难度和时间都适合已经工作的人自学,点赞

By Sundeep L

Aug 23, 2017

Another nice course

By Yang C

Aug 19, 2017

Thank you, helpful.

By Rohan J

Nov 13, 2023

Really Good course

By Mahdi S

Mar 13, 2023

its a great course

By Marcos D C C

Oct 31, 2022

Very good course.

By mohammad k

Aug 17, 2021

That Was Fabulous.

By Kyriakidis A

Apr 2, 2021

Excellent course!!

By Mohamed A

Oct 4, 2020

great explanation!

By Nelson J B F

Aug 23, 2020

Excepcional course

By Pillalamarri G K

Jul 13, 2020

Really great stuff

By Muhammad B Z R

Jun 29, 2020

I've learnt a lot!

By ACECOM I

Jun 13, 2020

MI CAMINO NINJA :D

By Abhinav S

Jun 10, 2020

Awesome learning !

By Nitheese T

May 14, 2020

again...a good one

By Mohamed E

May 6, 2020

Great as usual (Y)

By Mario H

May 2, 2020

Excellent material

By A H

May 1, 2020

Exceptional Course

By chakilam p k

Apr 27, 2020

week 2 is soo good

By Prerak M

Apr 20, 2020

outstanding course

By Jérémie D

Apr 7, 2020

Great content, thx

By Gaurav S

Apr 7, 2020

good for beginners