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Back to Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

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

4.9
stars
63,238 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.

JS

Apr 4, 2021

Fantastic course and although it guides you through the course (and may feel less challenging to some) it provides all the building blocks for you to latter apply them to your own interesting project.

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3701 - 3725 of 7,261 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Avinash S

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Apr 28, 2020

Its a must attend course, in deep learning

By Georgiy K

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Apr 26, 2020

Надзвичайно приємний курс. Усім рекомендую!

By Jesus G

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Apr 16, 2020

A very useful collection of tips and hints.

By Suresh K M

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Mar 3, 2020

Thank you for sharing such a deep knowledge

By Abdul M

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Jan 31, 2020

math part was quite difficult to understand

By Jaime G C

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Dec 4, 2019

i like it, specially the part of tensorflow

By Chi Z

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Jul 27, 2019

Good introductory material. Easy to digest.

By Bartosz G

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Jul 23, 2019

Amazing as always. Andrew you are the best!

By Raj S

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Mar 28, 2019

I cant stop myself to watch the next course

By Thor T

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Feb 4, 2019

Many nice hints about hyperparameter tuning

By Naveen D

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Dec 30, 2018

Andrew Ng is the God Father of AI Teaching.

By Peter S

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Nov 25, 2018

Andrew Ng is a seriously talented educator.

By Rajan K

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Oct 30, 2018

Great guidance from Andrew!! Thanks a lot!!

By 齐德鑫

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Oct 15, 2018

my first output using tensorflow!amazing!!!

By Karine I

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Aug 14, 2018

Excellent course! Interesting and engaging!

By Ming Y

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Jul 12, 2018

It has copious details that helps me a lot.

By Gordon L

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Jun 10, 2018

Good course!Especially the tenserflow part!

By Yuxing T

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Apr 16, 2018

Great for practice in modern deep learning.

By DeukYong Y

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Apr 1, 2018

중요한 Hyper parameter에 대한 배경과 이론을 이해할 수 있습니다.

By Pankaj Y

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Feb 1, 2018

Good explanatory course for neural networks

By Boris V

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Jan 19, 2018

Nice Course, thanks to all who contributed!

By Akshai S

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Jan 9, 2018

It taught me a lot of intricate concepts :)

By 廖世昌

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Jan 2, 2018

Nice teacher, very detailed and very clear!

By Nathan H

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Dec 1, 2017

Easy to understand. Excellent presentation.

By Venkata R R L

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Nov 22, 2017

Great course, good explanation of concepts.