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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

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

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.

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3326 - 3350 of 7,254 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Spiritual S

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Oct 19, 2021

Very interesting material with impactful presentation

By 林柏嘉

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Sep 27, 2021

Really clear and in-depth concept about Deep Learning

By Parth K

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Apr 7, 2021

Thanks to Andrew Sir and all the Deep Learning Hero's

By PAWAN B

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Dec 13, 2020

Really Greatway of teaching concepts by Lab Sessions.

By Bilal D

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Dec 13, 2020

good course.

but same quiz shouldn't repeat each time.

By Yun D T

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Aug 16, 2020

Awesome course! Step by step and very easy to follow.

By Alicia L

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Jul 16, 2020

Bastante ameno y muy adecuado para empezar proyectos.

By Ankita G

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Jun 22, 2020

The course is designed very well. Enjoyed learning!!!

By Milind Y

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Apr 12, 2020

Amazing course. Great job by instructors and Mentors.

By Vipul T

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May 21, 2019

Excellent. However more exercises should be included.

By Aishwarya R

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Mar 19, 2019

deeplearning.ai courses are worth the time and effort

By 王新越

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Jan 29, 2019

The course is useful for me ,and I have learned much.

By David P

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Oct 31, 2018

Gained a good understanding about the regularization.

By Fernando E L M

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Oct 17, 2018

Excellent training, easy to follow material and labs.

By Muhammad R M

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Oct 9, 2018

This course is a little tough but Its really worth it

By Future H

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Aug 24, 2018

Excellent explanations by Dr. Ng, easy to understand.

By Wang J

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Jun 23, 2018

Andrew Ng is one of the best teacher I have ever met.

By Yu Q

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Apr 20, 2018

A little hard to learn but very practical and useful!

By Jagadish K J

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Apr 17, 2018

Very Important course to learn Hyper parameter tuning

By Yash N

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Mar 9, 2018

The best resource on Neural Networks on the internet!

By Wynand

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Feb 21, 2018

Andrew is great at breaking AI down into simple steps

By LakshmiNarayana B

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Feb 7, 2018

Very helpful in understanding ways to optimize models

By Matt S

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Dec 27, 2017

It's great for the practice of projects in real work!

By Shubhadeep R

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Nov 30, 2017

Learned a lot from this course. Thank you Andrew Sir.

By 郭建隆

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Nov 27, 2017

Andrew is a really great teacher that I've ever seen!