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返回到 Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

學生對 deeplearning.ai 提供的 Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization 的評價和反饋

4.9
54,290 個評分
6,195 條評論

課程概述

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....

熱門審閱

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.

AS

Apr 19, 2020

Very good course to give you deep insight about how to enhance your algorithm and neural network and improve its accuracy. Also teaches you Tensorflow. Highly recommend especially after the 1st course

篩選依據:

5851 - Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization 的 5875 個評論(共 6,129 個)

創建者 Paraskevas P

Mar 29, 2020

More practical examples would be very useful.

創建者 Aymen S

Aug 13, 2019

Cours intéressant merci beaucoup Mr Andrew Ng

創建者 Anna

Sep 12, 2018

batch optimization is good but not graded :-(

創建者 Yiping W

Jun 23, 2018

should provide more materials for tensor flow

創建者 Freddy A C F

Jun 25, 2020

great now I understand Adam optimizer better

創建者 Kazuki H

Jan 09, 2020

I can understand concept of deep neural net!

創建者 Bernardt D

Jun 26, 2018

There were some typos throughout the course.

創建者 Michael N

Apr 13, 2018

Great but som explanations seems a bit wierd

創建者 Karl B

Oct 28, 2018

Tensor flow stuff could be better explained

創建者 Mecrux

Sep 04, 2018

Maybe should spend more time on tensorflow?

創建者 Arnav D

May 22, 2018

Best TensorFlow tutorial I have seen so far

創建者 Sandor T C

Jan 29, 2018

too much hand holding, no struggle to learn

創建者 John R G P

Aug 20, 2020

Its necessary to actualize to tensorflow 2

創建者 Paulo A V

Nov 16, 2017

Nice complement to the first course on ANN

創建者 Thibault C

Nov 07, 2019

more intuitive insights would be helpful

創建者 EURICO O D C D S C

Jan 08, 2018

Having tensorflow is great. It's a must.

創建者 taofeek o

Mar 12, 2020

A great course and it's well explained.

創建者 Dixing X

Oct 16, 2017

programming assignments are too easy XD

創建者 Yue X

Sep 15, 2017

Programming assignments are too simple.

創建者 Michael B

Dec 19, 2017

Could do with more tensorflow examples

創建者 Guy K

Sep 22, 2017

Well organized !! clear explanations !

創建者 Mayank J

May 13, 2020

I expected it to be in TensorFlow 2.0

創建者 jyning

Dec 03, 2017

感觉作业设计的很好,可以不需要太好的编程能力就能完成,还能加深多算法的理解

創建者 Merouane B

Jun 16, 2020

it was difficult somehow but awesome

創建者 Yogesh K

May 28, 2020

Update to TensorFlow 2.0 is required