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

4.9
stars
63,068 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

AA

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Assignment in week 2 could not tell the difference between 'a-=b' and 'a=a-b' and marked the former as incorrect even though they are the same and gave the same output. Other than that, a great course

AM

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I really enjoyed this course. Many details are given here that are crucial to gain experience and tips on things that looks easy at first sight but are important for a faster ML project implementation

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3601 - 3625 of 7,244 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By James P

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Mar 13, 2024

Excellent content and delivery from Andrew Ng

By Tomohito S

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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

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Dec 12, 2021

Intense but straightforward. I learned a lot!

By Md. A H

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Sep 4, 2020

This was a tough and enjoyable course for me.

By Đạt Đ T

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Sep 2, 2020

This course is better than what i really want

By Kai L

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Jul 16, 2020

A good course to learn hyperparameters tuning

By Saeed A

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Jul 8, 2020

This is a great course and designed carefully

By Babatunde O

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Jul 4, 2020

Interesting concept professionally delivered.

By Akanksha M

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Jun 7, 2020

Concepts were very well and clearly explained

By priyanka V

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May 10, 2020

Best course on tuning the network parameters.

By Volk U

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May 7, 2020

Great instructor and easy to follow lectures.

By Prashant J

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Apr 6, 2020

A great course full of tips to tune DL Model.

By Mert Ç

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Mar 22, 2020

Perfect. Golden quality. Thanks to Andrew Ng.

By Abhishek S

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Feb 18, 2020

very helpful must join and do all questions !

By Madhu M

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Jan 1, 2020

A course to gain knowledge on hyperparamters.

By bala K K

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Nov 22, 2019

Great Lesson, learned a lot. Thanks, Coursera

By fbrand

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Oct 22, 2019

Just miss the notes at the end of the videos.

By Tej B

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Oct 13, 2019

Learned a lot of about hyperparameter tuning.

By Kornel S

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Sep 30, 2019

Great course, interesting and advanced stuff!

By Sami A

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Sep 23, 2019

Great course .... introduced us to Tensorflow

By Sedat K

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Aug 26, 2019

Great course for understanding Deep Learning!

By Rudra P

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Aug 16, 2019

Thank you. It helped me a lot to learn a lot.

By Barka T

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Jul 11, 2019

Really great and smooth transition tensorflow

By Simon T

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Jul 3, 2019

Great as always when learning from Andrew NG!

By Yuanzhan W

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Jun 12, 2019

A good walk-through of hyper-parameter tuning