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

4.9
stars
63,156 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

NA

Jan 13, 2020

After completion of this course I know which values to look at if my ML model is not performing up to the task. It is a detailed but not too complicated course to understand the parameters used by ML.

HD

Dec 5, 2019

I enjoyed it, it is really helpful, id like to have the oportunity to implement all these deeply in a real example.

the only thing i didn't have completely clear is the barch norm, it is so confuse

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4351 - 4375 of 7,249 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Jimmy

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Jan 21, 2018

Andrew Ng is still a legend

By Deepak K S

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Dec 24, 2017

Great Course. I enjoyed it!

By Tian Z

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Dec 8, 2017

Very inspiring and helpful!

By Pranay C

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Dec 3, 2017

Very intuitive explanations

By 童宇青

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Nov 21, 2017

This course is very great!.

By Chiayu L

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Nov 11, 2017

great lecture. Many thanks!

By Alex Y

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Oct 7, 2017

Andrew is great, as always!

By Daniel G

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Sep 28, 2017

Excellent learning resource

By Prasenjit P

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Sep 28, 2017

Superb!! thanks Andrew Ng!!

By Jun W

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Sep 20, 2017

Still the best of the best!

By Nir D

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Sep 19, 2017

Very clear and interesting!

By Cong Z

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Sep 13, 2017

Excellent pace and material

By fengchang

•

Sep 13, 2017

very good course, thank you

By Dhileeban K

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Aug 28, 2017

Gives excellent intuitions.

By Siddhartha B

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Aug 27, 2017

Awesome course as expected.

By Fernando N

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Jun 6, 2023

Andrew is a great teacher!

By Hakwoo K

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Oct 13, 2021

GREAT CONCEPTUAL LEARNING!

By Khan R A

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Jun 30, 2021

Very well explained course

By Atanu C

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Feb 22, 2021

The best course I ever had

By Leonardo S N

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Dec 26, 2020

Super, extremelly good !!!

By Enrique A

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Nov 22, 2020

Mil gracias maestro Andrew

By SACHIN

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Oct 30, 2020

Great course.Just loved it

By Carlos S V A

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Aug 22, 2020

Muy práctico y entretenido

By Xiaoyu B

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Aug 14, 2020

Great Learning Experience!

By Trupen

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Jul 11, 2020

Please refer to course 1;)