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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

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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

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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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2051 - 2075 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By j.guadalupe o

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Feb 7, 2018

It is a very good course about tuning the hyperparameters and a good introduction to TensorFlow.

By Erik N

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Jan 8, 2018

Great course. Please add more development exercises, where you have to write more code yourself.

By Shanshan W

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Jan 7, 2018

Amazing class, covered many topics of deep neural network. Well-organized and clearly-presented.

By Mohamed A

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Dec 7, 2017

Really powerfull tools this begin to seems more and more advanced , thanks for your time Andrew.

By Van V N

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Nov 27, 2017

Very well structured course with interesting quizzes and programming exercises. Amazing teacher.

By liangyi

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Nov 22, 2017

it's better to add some optional courses on the mathematical derivation of some algorithms !!!!!

By Jesse S

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Oct 26, 2017

Another winner. Starts off building everything in Numpy then introduces higher-level Tensorflow.

By Tanja I

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Sep 28, 2017

The continuation of the course 1, many things have become clear to me! Another excellent course!

By HanSeYeong

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Sep 22, 2017

This was very practical for my project! I'm so glad to be able to identify what I should change.

By Poomipat

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Sep 12, 2017

I love the interview section. This section gives me broader intuition and field in NN framework.

By Bharath P

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Aug 24, 2017

You could have focussed more on Tensor Flow.

Concepts are explained very well.

I loved this curse.

By Lukas B

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Aug 10, 2022

Fantastic course. Concrete explanations and a both clear and useful introduction to tensorflow.

By Jovania D

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Dec 13, 2021

Excelente curso! Muito aprendizado sobre os hiperparâmetros: quais são, quando usar, como usar.

By Lu X

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Aug 15, 2021

Thank you Prof. Andrew Ng! I felt pretty enjoyable during the process of learning this course!

By Javier E

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Apr 25, 2020

i relly love this courses, this are so well designed for learning. just like in a university!!!

By Aman D

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Apr 21, 2020

This was such an awesome course. I did have learnt lot about deep learning through this course.

By Karthikeyan T P

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Dec 2, 2019

Excellent course on hyperparameter tuning, regularization and optimization. Highly recommended.

By Sergii G

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Nov 19, 2019

Fast and clear course. Has a lot of small exercises that are very handy for your own algorithms

By Abdelrahman A

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Jul 20, 2019

Thanks a lot Professor Andrew you're such a great man. The course/specialization is terrific <3

By Akshaya P K

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Apr 22, 2019

Fantastic course. Sply the codes and the way they have been thoughtfully structured. Brilliant!

By Pradeep I

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Mar 4, 2019

What learned during the course was building the self confidence in the subject area really lot.

By Muhammad A

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Jan 13, 2019

Well balanced syllabus. covering the intuitive part as well as the procedure of implementation.

By dsp

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Dec 30, 2018

Nice overview of different steps for improvement. Very accessible introduction into TensorFlow.

By Muhammad H A

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Nov 18, 2018

The best course for the understanding of basic to advanced learning of neural network training.

By Soheil Z

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Nov 8, 2018

It is the best course for Deep learning on the internet., which is taught by best teacher ever.