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

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

40,746 個評分
4,339 個審閱


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....



Dec 06, 2019

I enjoyed it, it is really helpful, id like to have the oportunity to implement all these deeply in a real example.\n\nthe only thing i didn't have completely clear is the barch norm, it is so confuse


Oct 09, 2019

I really enjoyed this course. Many details are given here that are crucial to gain experience and tips on things that looks easy at first sight but are important for a faster ML project implementation


101 - Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization 的 125 個評論(共 4,269 個)

創建者 Muhammad A

Jan 13, 2019

Well balanced syllabus. covering the intuitive part as well as the procedure of implementation.

創建者 Sameer K

Jan 15, 2019


創建者 Yuting Z

Jan 14, 2019

its very useful!

創建者 Ramon D R S

Jan 15, 2019

Un curso muy completo para introducirte a un nivel ams de DL

創建者 Ahmed D

Jan 13, 2019

very amusing

創建者 Emmanuel J A

Jan 14, 2019

Andrew Ng gives practical tips to improve a deep neural network but also the theory behind. I highly recommend this course for every ML enthusiasts!

創建者 冯箫

Jan 14, 2019


創建者 Ashish G

Jan 13, 2019

At the top. There is no rating that can justify the content. Thank you Mr. NG.

創建者 Clerc-Gherardi

Jan 13, 2019

It completes well the first course. I'll hope the next lectures will be as interesting as the two first were.

創建者 Lakshmi N S

Jan 14, 2019

Nice course.

創建者 Somex K G

Jan 15, 2019

this course helped me to understand, what is effect of various hyper-parameters and how to tune them.

創建者 Debadatta B

Dec 31, 2018

One of the finest. Thank you Andrew Sir.

創建者 Can K

Jan 01, 2019

This course is helping me a lot. I am an undergraduate researcher.


Dec 31, 2018

Very good introductory material on regularization and optimization. Also introduction to tensorflow as frameworks is spot-on

創建者 Suraj K J

Jan 01, 2019

Andrew Ng. That's all that needs to be said. Thanks.

創建者 To P H

Jan 01, 2019

Great course

創建者 Krishna P G

Jan 02, 2019

Provides good overview of hyperparameters and methods to tune them

創建者 Eoghan T

Jan 01, 2019

Thanks, Prof. Ng!

創建者 Beng C C

Dec 31, 2018

Great course! But I am not too sure why this should be placed in number 2, as I feel that topics such as tuning hyperparameters do not resonate well with someone who is not working professionally or is not very experienced in this field. However, still a great course as I will revisit this course when I gain more experience. I also like the last exercise on Tensorflow as there is a lack of courses on Tensorflow on the Internet, so the last assignment on Tensorflow is the most useful which I have found in the course.

創建者 dsp

Dec 30, 2018

Nice overview of different steps for improvement. Very accessible introduction into TensorFlow.

創建者 Subin J

Jan 15, 2019

I got a very good understanding about how to what are the parameters I can tune, regularization methods, and different gradient descent alternatives which can be used through this course.

創建者 Arjun R

Jan 15, 2019

Loved every lecture. Excellently structures programming assignments. Highly recommended for an beginner deep learning practitioner

創建者 John l

Jan 16, 2019

good course indeed

創建者 Abhishek B

Jan 16, 2019

Awesome Content and tutors!

創建者 David P

Jan 15, 2019

Very Useful!