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
63,484 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

RR

Jun 13, 2020

Could have increased assignments and some more indepth knowledge of tensorflow and proper installation way of tensorflow cause mine is showing error when iam trying to practice as shown in the video

NC

Jun 3, 2018

Just as great as the previous course. I feel like I have a much better chance at figuring out what to do to improve the performance of a neural network and TensorFlow makes much more sense to me now.

Filter by:

5676 - 5700 of 7,283 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By password

?

Oct 5, 2017

very good

By Sylvain D

?

Oct 5, 2017

Excellent

By Denny M

?

Sep 25, 2017

Nice! :-)

By LI S

?

Sep 19, 2017

very good

By 霍宇琦

?

Sep 19, 2017

thank you

By Hugsy W

?

Sep 17, 2017

very good

By Santosh P

?

Sep 17, 2017

Wonderful

By Yanqing Y

?

Sep 13, 2017

very good

By Arturas N

?

Sep 8, 2017

Good info

By hanpaopao

?

Sep 8, 2017

very good

By chang c

?

Sep 6, 2017

very good

By laixiaohang

?

Sep 3, 2017

very good

By WXB506

?

Aug 24, 2017

内容比较基础，不错

By Naman B

?

Aug 23, 2017

Amazing !

By kai w

?

Aug 22, 2017

very good

By Davit M

?

Jun 20, 2025

GREAT!!!

By Seyyed M M

?

Jun 17, 2023

Awesome!

By SHANKAR K

?

Feb 12, 2023

Awesome.

By Nam D

?

Jul 25, 2021

Chicken

By Thomas L

?

Jun 30, 2021

Amazing!

By Hasindri S W

?

May 6, 2021

the best

By Musa B

?

Feb 13, 2021

Amazing.

By Efecan A

?

Nov 8, 2020

PERFECT!

By Leone V E

?

Oct 22, 2020

exelente

By Malèk R

?

Sep 13, 2020

Good Job