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
63,248 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

AS

Apr 18, 2020

Very good course to give you deep insight about how to enhance your algorithm and neural network and improve its accuracy. Also teaches you Tensorflow. Highly recommend especially after the 1st course

CM

Dec 23, 2017

Exceptional Course, the Hyper parameters explanations are excellent every tip and advice provided help me so much to build better models, I also really liked the introduction of Tensor Flow

Thanks.

Filter by:

3601 - 3625 of 7,261 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By 孔燕斌

•

Oct 18, 2017

great class, make deep learning more practical

By Joel G

•

Oct 1, 2017

Great pedagogy, making complexity look simple!

By Pengju W

•

Sep 19, 2017

It is a perfect course, which is easy to learn

By RobinChan

•

Sep 6, 2017

Very useful methods of deep learning practice.

By Dax J

•

Aug 30, 2017

great course, best one of this specialization.

By Jochen R

•

Aug 30, 2017

great course about optimization and tensorflow

By 郭鑫鹏

•

Aug 21, 2017

profundity with an easy-to-understand approach

By James P

•

Mar 13, 2024

Excellent content and delivery from Andrew Ng

By Tomohito S

•

Aug 27, 2022

ハイパーパラメータの調整はまったくの手探りだったので、体系的な探り方を知って感激しました。

By Zijian H

•

Dec 12, 2021

Intense but straightforward. I learned a lot!

By Md. A H

•

Sep 4, 2020

This was a tough and enjoyable course for me.

By Đạt Đ T

•

Sep 2, 2020

This course is better than what i really want

By Kai L

•

Jul 16, 2020

A good course to learn hyperparameters tuning

By Saeed A

•

Jul 8, 2020

This is a great course and designed carefully

By Babatunde O

•

Jul 4, 2020

Interesting concept professionally delivered.

By Akanksha M

•

Jun 7, 2020

Concepts were very well and clearly explained

By priyanka V

•

May 10, 2020

Best course on tuning the network parameters.

By Volk U

•

May 7, 2020

Great instructor and easy to follow lectures.

By Prashant J

•

Apr 6, 2020

A great course full of tips to tune DL Model.

By Mert Ç

•

Mar 22, 2020

Perfect. Golden quality. Thanks to Andrew Ng.

By Abhishek S

•

Feb 18, 2020

very helpful must join and do all questions !

By Madhu M

•

Jan 1, 2020

A course to gain knowledge on hyperparamters.

By bala K K

•

Nov 22, 2019

Great Lesson, learned a lot. Thanks, Coursera

By fbrand

•

Oct 22, 2019

Just miss the notes at the end of the videos.

By Tej B

•

Oct 13, 2019

Learned a lot of about hyperparameter tuning.