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

4.9
stars
63,068 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

XG

Invalid date

Thank you Andrew!! I know start to use Tensorflow, however, this tool is not well for a research goal. Maybe, pytorch could be considered in the future!! And let us know how to use pytorch in Windows.

YL

Invalid date

very useful course, especially the last tensorflow assignment. the only reason i gave 4 stars is due to the lack of practice on batchnorm, which i believe is one of the most usefule techniques lately.

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3701 - 3725 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Peter S

•

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.

By Dave L

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Oct 20, 2017

This is a great course which helps me a lot

By Milo C

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Sep 27, 2017

Very good course and very nice community :)

By Yusuf A

•

Aug 30, 2017

Great insight into Deep Learning Algorithms

By Abdallah A O

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Feb 25, 2024

One the best courses I've seen, well done.

By satya s m n

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Aug 5, 2023

Complete from scratch to using Frameworks.

By Erfan G

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Jul 16, 2023

some topics need more explanation, I guess

By Aleksander S

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Mar 19, 2021

Nice! May useful experience and knowledge!

By Nieb H N

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Nov 30, 2020

Courses from Andrew NG are always special.

By P P

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Aug 23, 2020

excellent course by andrew ng and coursera

By vijay b n

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Aug 13, 2020

Best course and I thank instructors a lot.

By Peter K

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Jul 27, 2020

Tolle, einfache, zielgerichtete Erklärung!