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



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....



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.


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


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


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



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