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Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization(으)로 돌아가기

deeplearning.ai의 Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization 학습자 리뷰 및 피드백

4.9
stars
42,072개의 평가
4,492개의 리뷰

강좌 소개

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....

최상위 리뷰

CV

Dec 24, 2017

Exceptional Course, the Hyper parameters explanations are excellent every tip and advice provided help me so much to build better models, I also really liked the introduction of Tensor Flow\n\nThanks.

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.

필터링 기준:

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization의 4,426개 리뷰 중 4226~4250

교육 기관: Agnes

Oct 13, 2017

it is very useful for the processing of modelling.

교육 기관: ZHE C

Aug 18, 2017

include key idea on the tuning of hyperparameters

교육 기관: 윤동준

Mar 07, 2019

REALLY USEFUL.

BUT IT IS BIT HARD FOR BEGINNERS.

교육 기관: Kousik R

Jun 12, 2019

There are so many grader problems please fix it

교육 기관: Abhijith A

Oct 02, 2018

Good course, could have done more on tensorflow

교육 기관: Michael R

Nov 02, 2019

Tensor flow should be explained in more detail

교육 기관: Kullawat C

Oct 02, 2018

Very great course on how to tune NN in details

교육 기관: Harsha S

Jan 23, 2018

Builds on fundamentals, which is always good!!

교육 기관: Aymen S

Aug 13, 2019

Cours intéressant merci beaucoup Mr Andrew Ng

교육 기관: Anna

Sep 12, 2018

batch optimization is good but not graded :-(

교육 기관: Yiping W

Jun 23, 2018

should provide more materials for tensor flow

교육 기관: Kazuki H

Jan 09, 2020

I can understand concept of deep neural net!

교육 기관: Bernardt D

Jun 26, 2018

There were some typos throughout the course.

교육 기관: Michael N

Apr 13, 2018

Great but som explanations seems a bit wierd

교육 기관: Karl B

Oct 28, 2018

Tensor flow stuff could be better explained

교육 기관: Mecrux

Sep 04, 2018

Maybe should spend more time on tensorflow?

교육 기관: Arnav D

May 22, 2018

Best TensorFlow tutorial I have seen so far

교육 기관: Sandor T C

Jan 29, 2018

too much hand holding, no struggle to learn

교육 기관: Paulo A V

Nov 16, 2017

Nice complement to the first course on ANN

교육 기관: Thibault C

Nov 07, 2019

more intuitive insights would be helpful

교육 기관: EURICO O D C D S C

Jan 08, 2018

Having tensorflow is great. It's a must.

교육 기관: Dixing X

Oct 16, 2017

programming assignments are too easy XD

교육 기관: Yue X

Sep 15, 2017

Programming assignments are too simple.

교육 기관: Michael B

Dec 19, 2017

Could do with more tensorflow examples

교육 기관: Guy K

Sep 22, 2017

Well organized !! clear explanations !