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Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization に戻る

deeplearning.ai による Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization の受講者のレビューおよびフィードバック

4.9
42,401件の評価
4,526件のレビュー

コースについて

This course will teach you the "magic" of getting deep learning to work well. Rather than the deep learning process being a black box, you will understand what drives performance, and be able to more systematically get good results. You will also learn TensorFlow. After 3 weeks, you will: - Understand industry best-practices for building deep learning applications. - Be able to effectively use the common neural network "tricks", including initialization, L2 and dropout regularization, Batch normalization, gradient checking, - Be able to implement and apply a variety of optimization algorithms, such as mini-batch gradient descent, Momentum, RMSprop and Adam, and check for their convergence. - Understand new best-practices for the deep learning era of how to set up train/dev/test sets and analyze bias/variance - Be able to implement a neural network in TensorFlow. This is the second course of the Deep Learning Specialization....

人気のレビュー

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.

HD

Dec 06, 2019

I enjoyed it, it is really helpful, id like to have the oportunity to implement all these deeply in a real example.\n\nthe only thing i didn't have completely clear is the barch norm, it is so confuse

フィルター:

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization: 4251 - 4275 / 4,461 レビュー

by Juan O

Dec 03, 2017

Having slides like in other courses will be helpful

by SENCHANDRA

Dec 24, 2019

There should have been more exercise on tensorflow

by Gopal M

Sep 14, 2019

TensorFlow is a bit nebulous.I need more practice.

by Jean-Marc S

Dec 27, 2018

The syntax and logic of tensorflow is a bit blurry

by Daniel F P R

Dec 17, 2018

Was great! Would have loved to see more tensorflow

by 김연희

Dec 11, 2018

좋은 강좌입니다. 단 한글 번역 부분에 오류가 많습니다. 이후에는 수정되었으면 좋겠습니다.

by Shaun M

Jul 08, 2018

Good follow-on from course 1 of the specialization

by Mohammad M R

Jan 03, 2018

Sorry for the last review - the quiz can be saved.

by Gopala V

Oct 24, 2017

Definitely improved my understanding on the tuning

by erhan b

Oct 21, 2017

Assignments are mostly copy past from instructions

by Agnes

Oct 13, 2017

it is very useful for the processing of modelling.

by ZHE C

Aug 18, 2017

include key idea on the tuning of hyperparameters

by 윤동준

Mar 07, 2019

REALLY USEFUL.

BUT IT IS BIT HARD FOR BEGINNERS.

by Kousik R

Jun 12, 2019

There are so many grader problems please fix it

by Abhijith A

Oct 02, 2018

Good course, could have done more on tensorflow

by Michael R

Nov 02, 2019

Tensor flow should be explained in more detail

by Kullawat C

Oct 02, 2018

Very great course on how to tune NN in details

by Harsha S

Jan 23, 2018

Builds on fundamentals, which is always good!!

by Aymen S

Aug 13, 2019

Cours intéressant merci beaucoup Mr Andrew Ng

by Anna

Sep 12, 2018

batch optimization is good but not graded :-(

by Yiping W

Jun 23, 2018

should provide more materials for tensor flow

by Kazuki H

Jan 09, 2020

I can understand concept of deep neural net!

by Bernardt D

Jun 26, 2018

There were some typos throughout the course.

by Michael N

Apr 13, 2018

Great but som explanations seems a bit wierd

by Karl B

Oct 28, 2018

Tensor flow stuff could be better explained