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

4.9
stars
63,299 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

Oct 31, 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.

AM

Oct 9, 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

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2401 - 2425 of 7,270 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Pranav

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Jun 14, 2018

Learned a lot of thing on neural net in this course.Excellent teaching by Andrew Ng.

By Vincent H

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Jun 10, 2018

We better understand what is behind tensorflow after following this lesson.Thank you

By DaesooLee

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Jun 8, 2018

I'm truly saying that this professor has an amazingly soft/pleasant way of teaching.

By Vladimir

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Dec 9, 2017

Brilliant course to understand Neural Networks with great practical focus!

Thank you!

By Jorge B C

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Nov 26, 2017

Very useful guidelines to achieve successful results developing Deep Neural Networks

By Wenjie L

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Nov 21, 2017

Great course! It helped me a lot about the parameter settings to train the networks.

By Sergey D

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Sep 9, 2017

Детально разбирается материал. Очень полезная информация к дополнению первого курса.

By Vladimir I

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Sep 4, 2017

The information for a practitioner that Dr. Ng provides in this course is priceless.

By Chipo K

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Feb 5, 2022

really helpful course gives a detailed idea of what is involved in parameter tuning

By Chandrima C

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Aug 29, 2021

In detail explanations of every small and big concept by Prof. Andrew is the best!!

By Chandramouli S

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Sep 9, 2020

Programming assignments were too good. Very informative. Clearly explained concepts

By Jaswanth N

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May 14, 2020

Very Good course. It provides deeper knowledge on fine tuning the hyper parameters.

By Nipun S

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Apr 3, 2020

Wow this is a amazing course series. Looking forward to complete next three as well

By James R

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Jan 18, 2020

Well structured. Covers key concepts well. Overall, Great course! Well Done Andrew!

By arun

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Dec 4, 2019

Thank you Andrew NG, I felt a research type of energy after completing this course.

By Muhammad S A G M A

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Nov 20, 2019

Sir. Andrew Ng simplifies difficult topics and help you understand them. Thank you.

By Ethan J

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Dec 27, 2018

very helpful course. Hope there could be more exercises on tuning hyper parameters.

By Michael K

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Feb 12, 2018

Great course . I like learning how to using the deeplearning frame work at the end!

By Sotnikov G

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Nov 24, 2017

Very important course to make knowledge from the first course much deeper! Awesome!

By Rick Y

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Nov 15, 2017

Great course! Really helps to further deepen your understanding of neural networks.

By Hector W

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Oct 16, 2017

Provides a very interesting set of techniques to accelerate learning on a Deep Net.

By Michael B

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Sep 18, 2017

Second great course in this specialization. Especially the exercises are top notch!

By Michael V

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Aug 21, 2017

great teacher.

very logical and methodical

good complement to Andrew's other course

By metin e

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Dec 19, 2024

It is a well-organized course. Thanks to everyone who contributed to preparing it.