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

4.9
stars
62,825 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

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.

JS

Apr 4, 2021

Fantastic course and although it guides you through the course (and may feel less challenging to some) it provides all the building blocks for you to latter apply them to your own interesting project.

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4101 - 4125 of 7,216 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Abhijeet s

Oct 2, 2017

Oh tensor flow is a great help !!

By Summer Y

Sep 23, 2017

Good and practical introductions.

By DJONA

Aug 18, 2017

Great course with practical tools

By Wanmeng R

Dec 30, 2022

very intuitive and comprehensive

By Badie T

Oct 17, 2022

Very interesting personalities.

By ASHISH L

Apr 24, 2022

well taught and very imformative

By Dmitrii P

Apr 11, 2022

The Horse from Week2 is amazing!

By Sajjad u h

Dec 20, 2020

Greatly Buidl and managed Course

By Mukesh G

Dec 1, 2020

I believe its a very good course

By Neel K

Oct 19, 2020

Great explanation for TensorFlow

By Yaroslav K

Sep 25, 2020

Great course. A lot of insights!

By Mariana M

Sep 20, 2020

Excellent exercises and lectures

By Bin L

Sep 1, 2020

深度学习框架TensorFlow是1.0版本,有点老,其余都很好

By Dr.G.Narender

Aug 24, 2020

course by andrew ng is excellent

By Reema G I

Aug 20, 2020

Amazing explanation by Andrew NG

By Amit A

Aug 19, 2020

Awesome Course! Professor Andrew

By Abdellatif O

Jun 17, 2020

the best one thank you Andrew NG

By Michael W M C

Jun 11, 2020

Wonderful teaching and learning!

By DANIEL Q

May 8, 2020

Very good course. Very didactic.

By Mrunank M

May 8, 2020

Superb content! Helped me a lot!

By ravi k

Jan 16, 2020

The course is really very useful

By Salwa A

Nov 2, 2019

Very enlightening and beneficial

By Atefeh S

Aug 10, 2019

It was really helpful Thank you!

By Raphael Y

Jul 28, 2019

Great instruction for fresh man.

By Subasish K

Jun 18, 2019

Excellent course and a must one.