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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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3651 - 3675 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By P B

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Oct 1, 2021

yet another amazing course by Prof.Andrew NG

By Gustavo A L M

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Apr 24, 2021

Dr. Andrew Ng is the best professor ever !!!

By Dinesh K P

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Nov 16, 2020

Easy to follow steps, great indepth coverage

By Brandon R

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Oct 1, 2020

As always, Andrew Ng is a fantastic teacher!

By Tongxi L

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Sep 4, 2020

gives better understanding to neural network

By Anchal M

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Sep 4, 2020

Very informative course...highly recommended

By ANURAG A J

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Jul 8, 2020

Another one of the good courses by Andrew ng

By Mamta S

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Jun 26, 2020

Perform program in the area of Deep Learning

By V. S R

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Jun 1, 2020

Faculty is very good and examples are useful

By Ankan G D

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May 2, 2020

All the topics are well-explained. Loved it!

By Patrick P

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Apr 30, 2020

Again of the interesting course by Andrew ng

By Amit K G

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Apr 23, 2020

This course has enriched my knowledge of DL.

By Shweta S

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Apr 22, 2020

Course was very informative and explanatory.

By Robert A

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Apr 19, 2020

The course was great . Notebook is terrible.

By 曹杰

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Apr 8, 2020

Very practical aspects of DL, thanks Andrew.

By Md F A B

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Mar 31, 2020

Well organized and good assignment materials

By Eden C

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Dec 8, 2019

Best Learning material for Machine Learning.

By Ahmet T

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Sep 27, 2019

It was very good experience and class for me

By Qasem A A

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Aug 5, 2019

Thank you much for such interesting courses

By 龚鑫

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Jan 26, 2019

very nice, I learned a lot from that course!

By Ryan G

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Jan 24, 2019

this course was amazing. I really enjoyed it

By An-Dân N

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Aug 26, 2018

Nice course, nice instructor, nice materials

By mobwiz

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Jun 23, 2018

Very good, I learned a lot from this course.

By 康一帅

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May 10, 2018

本课程让我了解了正则化，BN，Softmax背后的原理以及接触了TensorFlow框架

By Michael K

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Apr 30, 2018

Well explained and documented - recommended!