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54,600 Bewertungen
6,236 Bewertungen

Über den Kurs

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.


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.

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5876 - 5900 von 6,163 Bewertungen für Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

von Abhijith A

Oct 02, 2018

Good course, could have done more on tensorflow

von abiran r

Jul 12, 2020

i learn a lot of things related to tensorflow

von Michael R

Nov 02, 2019

Tensor flow should be explained in more detail

von Kullawat C

Oct 02, 2018

Very great course on how to tune NN in details

von Harsha S

Jan 23, 2018

Builds on fundamentals, which is always good!!

von Paraskevas P

Mar 29, 2020

More practical examples would be very useful.

von Aymen S

Aug 13, 2019

Cours intéressant merci beaucoup Mr Andrew Ng

von Anna

Sep 12, 2018

batch optimization is good but not graded :-(

von Yiping W

Jun 23, 2018

should provide more materials for tensor flow

von Freddy A C F

Jun 25, 2020

great now I understand Adam optimizer better

von Kazuki H

Jan 09, 2020

I can understand concept of deep neural net!

von Bernardt D

Jun 26, 2018

There were some typos throughout the course.

von Michael N

Apr 13, 2018

Great but som explanations seems a bit wierd

von Karl B

Oct 28, 2018

Tensor flow stuff could be better explained

von Mecrux

Sep 04, 2018

Maybe should spend more time on tensorflow?

von Arnav D

May 22, 2018

Best TensorFlow tutorial I have seen so far

von Sandor T C

Jan 29, 2018

too much hand holding, no struggle to learn

von John R G P

Aug 20, 2020

Its necessary to actualize to tensorflow 2

von Paulo A V

Nov 16, 2017

Nice complement to the first course on ANN

von Thibault C

Nov 07, 2019

more intuitive insights would be helpful


Jan 08, 2018

Having tensorflow is great. It's a must.

von taofeek o

Mar 12, 2020

A great course and it's well explained.

von Dixing X

Oct 16, 2017

programming assignments are too easy XD

von Yue X

Sep 15, 2017

Programming assignments are too simple.

von Michael B

Dec 19, 2017

Could do with more tensorflow examples