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

4.9
stars
63,245 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

XG

Oct 30, 2017

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.

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4351 - 4375 of 7,261 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Bogdan P

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Sep 24, 2018

The course was very helpful

By Dengrong J

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Sep 10, 2018

Very practical and helpful.

By Tiequan L

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Jul 18, 2018

Great. Effeicient teaching.

By Clark C

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May 18, 2018

It's a great course on DNN.

By Mirzodaler M

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Apr 16, 2018

Very useful course. Thanks!

By Shiwei T

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Apr 15, 2018

非常棒的课程，推荐所有准备入门深度学习的同学来进行学习

By BD2020

•

Mar 3, 2018

Thank you, Prof. Andrew Ng!

By Jimmy

•

Jan 21, 2018

Andrew Ng is still a legend

By Deepak K S

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Dec 24, 2017

Great Course. I enjoyed it!

By Tian Z

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Dec 8, 2017

Very inspiring and helpful!

By Pranay C

•

Dec 3, 2017

Very intuitive explanations

By 童宇青

•

Nov 21, 2017

This course is very great!.

By Chiayu L

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Nov 11, 2017

great lecture. Many thanks!

By Alex Y

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Oct 7, 2017

Andrew is great, as always!

By Daniel G

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Sep 28, 2017

Excellent learning resource

By Prasenjit P

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Sep 28, 2017

Superb!! thanks Andrew Ng!!

By Jun W

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Sep 20, 2017

Still the best of the best!

By Nir D

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Sep 19, 2017

Very clear and interesting!

By Cong Z

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Sep 13, 2017

Excellent pace and material

By fengchang

•

Sep 13, 2017

very good course, thank you

By Dhileeban K

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Aug 28, 2017

Gives excellent intuitions.

By Siddhartha B

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Aug 27, 2017

Awesome course as expected.

By Fernando N

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Jun 6, 2023

Andrew is a great teacher!

By Hakwoo K

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Oct 13, 2021

GREAT CONCEPTUAL LEARNING!

By Khan R A

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Jun 30, 2021

Very well explained course