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5,307 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....

Top-Bewertungen

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.

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.

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3976 - 4000 von 5,252 Bewertungen für Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

von Abdullah E D

Sep 08, 2018

thats good

von 刘锡明

Sep 03, 2018

very good!

von Thomas G

Sep 02, 2018

Excellent!

von kevin E

Aug 26, 2018

Pure Gold.

von 胡炜瑜

Aug 25, 2018

I like it!

von David

Aug 15, 2018

Brilliant!

von 蔡昇材

Jul 24, 2018

excellence

von Mingyi Z

Jul 05, 2018

insightful

von Roushan K

Jun 12, 2018

Excellent!

von Samkit S

Jun 04, 2018

Excellent!

von Liu Z

May 10, 2018

wonderful!

von Anan

May 06, 2018

吴恩达老师讲的很好。

von codeit

May 02, 2018

Excellent!

von 张超溢

May 02, 2018

excellent!

von Imran I

May 01, 2018

Excellent.

von Jack L

Mar 24, 2018

tremendous

von 任玉武

Mar 15, 2018

very good!

von Predrag S

Mar 10, 2018

Excellent.

von 郑毅腾

Mar 02, 2018

wonderful!

von Zito R

Feb 27, 2018

Excellent!

von Francisco A M

Feb 22, 2018

Excelente!

von zc

Jan 23, 2018

very nice!

von Nurmukhamed

Jan 19, 2018

Well done!

von Michael M

Jan 08, 2018

Excellent!

von Jian G

Jan 03, 2018

very nice!