糖心vlog官网观看

Chevron Left
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
63,486 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 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

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.

Filter by:

2201 - 2225 of 7,283 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Adrian R M

鈥�

Mar 29, 2020

Appreciate so much more the core essentials of applying common optimizations to NN models.

By liuchenyu

鈥�

Feb 8, 2020

Interesting,fascinating! But I hope more space to get in application and the art of coding

By ngoy m

鈥�

Jan 26, 2020

Learning quickly from very well thought out and put together lectures by Prof. Ng and team

By Sathvik B

鈥�

Jan 3, 2020

very practical course.... although hyperparameter tuning could be explained in more detail

By Tim W

鈥�

Dec 16, 2019

Thank Professor Ng for teaching us with such as a well-organized and very unique contents.

By Namburi S

鈥�

Nov 11, 2019

An excellent course with practical applications on how to do better hyper-parameter tuning

By Dmitry S

鈥�

Oct 19, 2019

Invaluable to understand the practical specifics of hyperparameter tuning and optimization

By Joe M

鈥�

Sep 30, 2019

Very nice course. Gives a real world perspective into optimization of deep learning models

By Anne G

鈥�

Aug 28, 2019

Thanks again for the great tutorials and the learning experiences! Thoroughly enjoyed it!

By Jerry

鈥�

May 28, 2019

Thanks to deeplearning.ai for this nice couse, really learned a lot and good for beginner.

By Saurabh S

鈥�

Mar 24, 2019

Awesome course. Improving the Deep Neural Network performance is explained so intuitively.

By Deepak M

鈥�

Jul 25, 2018

This course content is structured so well that you would almost never refer anything else.

By zhaoxi w

鈥�

Mar 19, 2018

very useful; i like the programming assignment which is well structured and well explained

By Jyoti K

鈥�

Mar 7, 2018

It is a great course to learn in-depth details of deep learning concepts. I learned a lot.

By Lanchen S

鈥�

Feb 11, 2018

I wish I could learn more about Tensorflow. But anyway, this course is already good enough

By Kimi T

鈥�

Feb 8, 2018

Excellent course. Provide a lot of useful tips to find the the optimal way to train a DNN!

By Jitesh J

鈥�

Sep 29, 2017

More programming exercises for Tensorflow may be advantageous from learning point of view.

By Ingrid A

鈥�

Sep 18, 2017

This course offers immediately usable advice for improving performance of neural networks.

By yanghui

鈥�

Aug 23, 2017

Programming assignment is well-designed to help me understand new concept;

great course!!!

By Vinid S

鈥�

Aug 15, 2017

Wonderfully structured course! Thanks a lot for your efforts to democratize Deep Learning.

By 袗薪褌芯薪 袙 小

鈥�

Dec 31, 2020

Brilliant course to dive deeper into neural network and optimization processes inside it.

By Virat K

鈥�

Nov 15, 2020

It is an amazing method of learning and quite an interesting puzzle at end of the course.

By Aleksander Z

鈥�

Sep 21, 2020

Thanks for the great course! But I think the usage of Tensorflow v1 is a problem in 2020.

By Snow Y

鈥�

Aug 11, 2020

The optimization algorithms are very effective. The teacher explained clearly and easily.