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

4.9
stars
62,915 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.

AS

Apr 18, 2020

Very good course to give you deep insight about how to enhance your algorithm and neural network and improve its accuracy. Also teaches you Tensorflow. Highly recommend especially after the 1st course

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3401 - 3425 of 7,222 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Rehan S

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Dec 28, 2019

Very informative and well organized for all levels.

By Ventseslav V

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Dec 21, 2019

Great content, programming exercise with Tensorflow

By Jonathan F

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Aug 7, 2019

This course is really well done. Great first steps.

By saad a

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Jul 22, 2019

perfect course, very clear. Thank you Dr. Andrew Ng

By Bill F

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Jul 16, 2019

Lots of techniques and methods for optimizing a NN.

By Deleted A

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Feb 21, 2019

wanna know what going under hood , explore this one

By Nitin s

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Jan 22, 2019

Fun, Enlightening and above all easy to understand.

By Priyanka D G

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Nov 25, 2018

It is already good, But places need to correct typo

By hong c

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Aug 9, 2018

thank for teachers provider this course,very useful

By 顏佑軒

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Jun 24, 2018

This is really really a good course to deeplearning

By Jack

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Jun 12, 2018

Fantastic presentation with details well explained!

By Juan V

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Jun 10, 2018

Great course! Really well explained, step-by-step!!

By Arnab S

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Mar 5, 2018

Amazing course. Got to learn about hyperparameters.

By Juan R

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Feb 15, 2018

Great course, well covered and perfectly explained.

By Wei X

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Jan 25, 2018

As the other two previous courses, I learned a lot.

By Earl R

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Oct 29, 2017

Great instructor!! Teaches at just the right level.

By Kyle S

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Oct 9, 2017

He's done it again! Seriously Andrew Ng is the man.

By Heejo L

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Aug 19, 2017

Great tutorial course for Deep Learning !!! Thx !!!

By Maninda W E

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Apr 30, 2023

Taught a very complex content in the simplest way!

By Murad R

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Sep 11, 2022

I think the easyest deep learning course out there

By Julie W

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Apr 11, 2022

Very well designed! Thank you Andrew and the team!

By Weidi P

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May 19, 2021

Great course to know how to tune super-parameters.

By Daimer J M O

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Apr 24, 2021

It'd be great if we had worked more on TensorFlow.

By Daniel B

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Jan 15, 2021

Great in-depth explanations and hands-on examples.

By vedang c

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Jan 3, 2021

Excellent course! Good introduction to TensorFlow.