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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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2576 - 2600 of 7,249 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Shayan

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Jan 5, 2019

Another well-taught course. Cant wait to complete more in the specialization.

By Anup J

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Dec 8, 2018

Amazing session and all the details and calculations are perfectly explained.

By Borijan G

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Sep 30, 2018

It was very fun and educative, I can't wait to learn more on the next course.

By Ugur Y

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Sep 20, 2018

Still I couldn't check the videos I watched from my tablet when I was offline

By Ambareesh S J

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Aug 29, 2018

Lovely course, introduced me to TensorFlow. Andrew NG is amazing as per usual

By Aditya k

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Jul 4, 2018

I got to understand a lot of key concepts, and my vocabulary in AI increased.

By Narendra P

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Jan 29, 2018

Really Effective Course.

Just made me realize how much more there is to learn!

By Ernesto S

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Nov 29, 2017

Excellent material! Very well structured and organized. Thanks, great course!

By Mohammad S H

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Nov 27, 2017

I learnt many things about tuning process and the maths behind those methods.

By SONG G

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Oct 30, 2017

This is the first time that I really learned tensorflow well. Thanks so much.

By Sreekanth B

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Oct 24, 2017

got must learn techniques for engineering and realizing real world use cases.

By Duncan “ M

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Oct 17, 2017

Interesting content, good insights, finally on to the programming frameworks!

By Marsh

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Oct 3, 2017

Great course. Provides practical information that can be applied immediately.

By Prashant J

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Aug 15, 2017

Andrew sir is a hero sent down from God to teach you anything and everything

By Jorge J

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Mar 6, 2023

Adrew is by far the best professor i've came to have classes with. Thank you

By Mi Z

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Aug 5, 2021

excellent course, thanks for taking me to open the door of DL&NN and also ML

By Pablo L

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Oct 18, 2020

Great course, this time it's an excellent idea to have the tips on the code!

By Dao M C

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Jun 28, 2020

Thanks very much to my teacher. The series very good to learn Deep Learning.

By Akhil M

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May 25, 2020

Great course! A little more practice/programming assignments would be great!

By harish h

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May 22, 2020

Best Ever course which I have took as a part of deep learning specialization

By chandrika p

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May 10, 2020

Beautifully explained the concepts this course has enhanced my understanding

By Sougat G

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Apr 10, 2020

Good course overall. I would have liked to know about more techniques though

By Aziz B

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Feb 14, 2020

More tensorFlow would be nice, great course honestly great work on intutions

By Raghu M

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Dec 6, 2019

Important to understand the influence of hyperparameters on every algorithm.

By Ding W

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Oct 23, 2019

I've learned a lot and appreciate for all the efforts Professor Ng has done.