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Back to Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

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

4.9
stars
63,156 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

NA

Jan 13, 2020

After completion of this course I know which values to look at if my ML model is not performing up to the task. It is a detailed but not too complicated course to understand the parameters used by ML.

HD

Dec 5, 2019

I enjoyed it, it is really helpful, id like to have the oportunity to implement all these deeply in a real example.

the only thing i didn't have completely clear is the barch norm, it is so confuse

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2126 - 2150 of 7,249 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Md Z S

Jun 30, 2018

A great experience while learning. Intuitive way of teaching maths behind the codes. Love it.

By Vismay A

Dec 3, 2017

Too much informative course. Complex concepts are formulated such that they are easy to learn

By Wei Z

Oct 15, 2017

I would like to see more contents like GAN or reinforcement learning. That would be so doped!

By Xiaorui Z

Sep 9, 2017

谢谢Andrew!这门课太精彩了!他不仅系统性地带领我们理解深度学习理论,也帮助我们在编程上不再害怕,这对我的帮助实在太大。我觉得课程组可以提供一些不错的参考资料和文档的话,那就更好了。

By zahed

Nov 12, 2022

Honestly, The best course that covered all topics related to tuning is this course.

Thank you

By Kimo J

Apr 17, 2022

Great explanations of many of the practical details that arise when optimizing neural nets.

By Ayman M H

Feb 17, 2022

Great Content and a great constructor, can't wait to complete the rest of the specilization.

By Anh V T

Aug 12, 2021

Really help on systematic view on optimization and tunning the deep neural network algorithm

By John J M

Sep 10, 2020

Excellent course that supplies not only the basics but the intuition behind the applications

By Mcvean S

Jul 20, 2020

Such an amazing teacher to learn from and an amazing course with a lot of helpful resources!

By Eve L

Jul 18, 2020

Very good teaching. Would be great if the Tensorflow homeworks could upgrade to Tensorflow 2

By Devvrat P

Jul 8, 2020

Awesome and in-depth knowledge by Andrew. I bet he is an awesome mentor. Thank you Andrew :)

By Jiawei H

Jun 22, 2020

Introducing some deeper knowledge about the DL framework, like hyperparameter tuning and BN.

By Atilio T

Jun 5, 2020

Excellent course. For understanding the essential concepts of tuning a deep learning project

By Bryon H

May 3, 2020

Very good information on the different optimizers and strategies for hyper-parameter tuning.

By Jiaqi d

Apr 19, 2020

Really helpful to get a general idea of how to tune the hyperparameter! Very clear teaching!

By Abdoulaye

Apr 13, 2020

This course was just very great, I found my self very excited to learn. Thanks Sir Andrew Ng

By venkatesh v

Feb 2, 2020

Definitely 5 star ..This teaching is cake walk for newbies and concepts explained very well.

By RIDVAN B

Jan 25, 2020

The teacher is awesome and if you are interested in that topic, this course is just perfect.

By ANDREW ( G

Dec 20, 2019

Got a much better understanding of the hyperparameters! Great job on explaining the details.

By Nithya K

Sep 2, 2019

Gained knowledge on various techniques of hyper parameter tuning. Good intro to Tensor Flow.

By Vivek V A

Feb 4, 2019

Course is good for a beginner goes from basics to advanced with practice assignments as well

By Abderrazak I

Feb 2, 2019

i am galde to finish this course and i am very interested to continue to complet all courses

By Yifei H

Nov 2, 2018

Very good course! Optimization helps a lot. And there is no error in grading in this course.

By Rashed D

Aug 26, 2018

Great course for building intuition about one of the most essential skills in deep learning.