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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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4201 - 4225 of 7,249 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Prasanna D

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Aug 19, 2023

It was an exceptional learning

By Jeremy A

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Jan 18, 2022

Excellent deep learning primer

By Jose N S

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Jan 5, 2021

Completely insightful, thanks!

By nesrine b

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Oct 30, 2020

thank you, such a great course

By Thomas L

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Sep 30, 2020

amazing as always with Andrew.

By Mr. S A

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Sep 9, 2020

It was so resourceful. Thanks!

By Yasuo I M P

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Aug 12, 2020

I highly recommend this course

By JAJJARA P J P

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Jul 7, 2020

Loved the course.Great content

By praveen s

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Jun 24, 2020

This is an amazing course,..!!

By Shaswata D

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May 27, 2020

Really helpful fine-tuning nn.

By Tomislav T

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May 20, 2020

Good groundwork course! A must

By Masoud M H

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Apr 25, 2020

Very good practical assingment

By Ratnakar M

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Feb 2, 2020

Glad to have done this course.

By Karan A

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Jan 26, 2020

Notebooks didn't work properly

By Hubert S

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Dec 5, 2019

Excellent content thanks a lot

By Eugene L

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Nov 29, 2019

Overall great and substantive.

By 曹世朋

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Oct 12, 2019

没想到我也能用自行推导Adam，真是太酷了，谢谢吴恩达老师！

By Koosup

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Aug 5, 2019

hyperparameter에 대해 잘 배울수 있었습니다

By Hanifa _

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Jul 31, 2019

Excellent materials as always.

By Bohdan B

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Jul 15, 2019

Andrew Ng my favorite lecturer

By Claudius T

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Jun 3, 2019

This course is EXCEPTIONAL!!!

By Alper B

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Mar 23, 2019

this is best course i've taken

By Ishaan

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Mar 6, 2019

very nice course i loved it :)

By Tayeb B

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Feb 10, 2019

Best deep learning course ever

By 江逸群

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Jan 9, 2019

Thanks so much for this course