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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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2526 - 2550 of 7,249 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By 曹瑾

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Sep 15, 2017

I learn a lot from this course. It helps me improve my skills in deep learning.

By Shaw L

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Aug 29, 2017

Covers a wide range of practical tips on building and improving neural network.

By Azmath M

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Aug 26, 2017

Gained insight into many things like Batch Normalization and L2 regularization!

By Fardeen R

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May 31, 2024

It teaches you about the practical aspects of developing deep neural networks.

By Pedram B

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Mar 11, 2021

I wish the PDFs of the slides were available like the Machine Learning Course.

By Ishant k

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Dec 18, 2020

learned a lot about how to tune hyper-parameter,optimization of neural network

By Dr. S H A M S

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May 17, 2020

Very informative course ! Instructors did full justification with the course.

By Sasidhar D

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May 17, 2020

This is really awesome, I have learned a lot. Very nice programming exercieses

By umut e

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Apr 29, 2020

everything became clear at the assignment part . Thanks for this course Andrew

By Nils B

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Mar 12, 2020

Very informative course, building on the foundations of the first course. 5/5!

By satvik v

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Mar 12, 2020

This was an excellent course in helping me design neural networks objectively.

By Salman A

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Mar 8, 2020

It was a great course and helped me a lot to get started with Neural Networks.

By Joshua H

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Oct 15, 2019

Another excellent course! The material is incredibly rewarding. Great teacher!

By Gary M

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Sep 11, 2019

A very good training for Regularization and how to deal with Bias and Variance

By Matthew R

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Sep 2, 2019

Programming assignments were a little too easy, but the material is fantastic.

By Michael A M

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May 28, 2019

Teaches some basic concepts every ML programmer should know in a practical way

By Sonny R

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May 13, 2019

Great job describing the solutions and then presenting how the solutions work!

By Khoa D D

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Apr 23, 2019

Thank you for your lectures. It's very very interesting and easy to understand

By Bogdan G

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Mar 12, 2019

Great course on basic NN material, with useful implementation principles/tips.

By Ashish G

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Jan 13, 2019

At the top. There is no rating that can justify the content. Thank you Mr. NG.

By srikanth m

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Oct 2, 2018

Content is organized brilliantly and teaching methodology instills confidence

By Zuo Z

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Aug 19, 2018

This great course will give you strategies you may spent several year to know.

By Eli S

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Jun 3, 2018

In some cases practical insights are more important than the theoretical ones.

By Serkan Ö

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May 31, 2018

This was very informative course, please keep the content reachable afterwards

By Salman A

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Apr 21, 2018

This course is really helping me getting better on understanding deeplearning.