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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....



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.


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


Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization: 5851 - 5875 / 6,127 レビュー

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 Freddy A C F

Jun 25, 2020

great now I understand Adam optimizer better

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

by Mecrux

Sep 04, 2018

Maybe should spend more time on tensorflow?

by Arnav D

May 22, 2018

Best TensorFlow tutorial I have seen so far

by Sandor T C

Jan 29, 2018

too much hand holding, no struggle to learn

by John R G P

Aug 20, 2020

Its necessary to actualize to tensorflow 2

by Paulo A V

Nov 16, 2017

Nice complement to the first course on ANN

by Thibault C

Nov 07, 2019

more intuitive insights would be helpful


Jan 08, 2018

Having tensorflow is great. It's a must.

by taofeek o

Mar 12, 2020

A great course and it's well explained.

by Dixing X

Oct 16, 2017

programming assignments are too easy XD

by Yue X

Sep 15, 2017

Programming assignments are too simple.

by Michael B

Dec 19, 2017

Could do with more tensorflow examples

by Guy K

Sep 22, 2017

Well organized !! clear explanations !

by Mayank J

May 13, 2020

I expected it to be in TensorFlow 2.0

by jyning

Dec 03, 2017


by Merouane B

Jun 16, 2020

it was difficult somehow but awesome

by Yogesh K

May 28, 2020

Update to TensorFlow 2.0 is required

by Krupal b

May 25, 2020

Some model are not understood deeply