Chevron Left
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
44,495件の評価
4,851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.

NA

Jan 14, 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.

フィルター:

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization: 4551 - 4575 / 4,786 レビュー

by Brent D

Feb 26, 2019

Tensorflow project was rushed and hard to understand.

by Franklin W

Jul 14, 2018

I want to be challenged more, less tips and more DIY.

by Seth T

Mar 26, 2018

Short course but was really excited to delve into TF.

by 王婷

Feb 17, 2018

good PA examples, that could benefit my further study

by Arhan G

Jan 31, 2018

Andrew is a great lecturer. The videos are excellent.

by Hak K C

Apr 05, 2018

Course was concise and assignments were well guided.

by Stuart R

Mar 11, 2018

Good course. Minor errors/typos in presented videos.

by Venkatraman

Mar 10, 2018

Quite not challenging in the programming assignments

by Fangshi L

May 19, 2019

Good course, although some bugs in homework grading

by Sumeet R

Feb 10, 2019

very good course - gets to practical aspects of ML!

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 pranav b

Jan 28, 2020

Best Course For Learning Hyper parameters Tuning

by 윤동준

Mar 07, 2019

REALLY USEFUL.

BUT IT IS BIT HARD FOR BEGINNERS.

by santosh

Mar 22, 2020

Excellent course. Bit tougher than first course