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

4.9
stars
63,175 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

CM

Dec 23, 2017

Exceptional Course, the Hyper parameters explanations are excellent every tip and advice provided help me so much to build better models, I also really liked the introduction of Tensor Flow

Thanks.

AM

Oct 8, 2019

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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3826 - 3850 of 7,254 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Ameya G

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Oct 22, 2017

Covers batch norm and optimizers nicely.

By Mostafa A

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Oct 16, 2017

well written course and concise material

By Edward D

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Oct 9, 2017

Really enjoy the last tensorflow project

By Oleksandr M

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Oct 5, 2017

Very useful algorithms and tips. Thanks!

By Ofir B

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Aug 23, 2017

This course is bright and clear as usual

By IOANNIS S

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Jul 26, 2023

amazing course! excellent tutor! thanks

By Vladimir K

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Aug 5, 2022

very smooth introduction to TensorFlow!

By Chetan B

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Jul 29, 2022

it is well design course thanks corsera

By Đạt L m

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Apr 17, 2022

Awsome 10/10 would definitely recommend

By WEI D

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Jun 21, 2021

Thank you Deeplearning.ai and coursera!

By NicoSujo

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Mar 18, 2021

Amazingly clear, interesting and useful

By Muhammad K K

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Oct 22, 2020

Learned tiny details about optimization

By Naveen V

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Sep 22, 2020

awesome content with good review system

By EDGAR G L D

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Aug 24, 2020

All I was hoping for the course, great!

By Héctor P

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Aug 15, 2020

Great course, taugh me many new things.

By Attili S

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Jul 19, 2020

excellent explanation from Andrew sir!!

By Jebin R

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Jul 9, 2020

It was the best lecture=) Thanks a lot!

By Mahit K P

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May 30, 2020

Excellent learning. Highly recommended.

By Nisarg S

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May 9, 2020

Great and very well organized material.

By Rishabh M

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May 7, 2020

detailed course with great explanations

By Adityam G

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May 7, 2020

Amazingly taught. Loved all the modules

By Daniel B

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Apr 17, 2020

Excellent course. You will learn a lot.

By himanshu g

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Feb 5, 2020

very insightful and developed intuition

By Wei A

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Oct 1, 2019

very useful. Ng's introducing is great!

By Khushal M

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Mar 14, 2019

Helped me clear a lot of basic concepts