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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
40,776 個評分
4,340 個審閱

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

HD

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

AM

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

篩選依據:

76 - Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization 的 100 個評論(共 4,273 個)

創建者 Manish N

Dec 13, 2018

great learning

創建者 Andrei K

Dec 13, 2018

Very good. I've improved my knowledge in understanding and tuning! Thanks

創建者 Zhaiyu C

Dec 13, 2018

learnt a lot!

創建者 Georgy K

Dec 25, 2018

A bit challenging in term of number of ideas in such limited amount of time. Very useful anyway.

創建者 Emmanouil K

Dec 25, 2018

Wonderful course! You do not need it but having seen some basic linear algebra and calculus would help.

創建者 Tian Q

Dec 26, 2018

Excellent course. Andrew balances theory and intuition perfectly when explaining a method or an algorithm. He helps me to see not only why something is mathmetically correct, but also why it makes sense intuitively.

創建者 dsp

Dec 30, 2018

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

創建者 Debadatta B

Dec 31, 2018

One of the finest. Thank you Andrew Sir.

創建者 YIXIANG Z

Dec 31, 2018

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

創建者 Can K

Jan 01, 2019

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

創建者 Christina A

Dec 30, 2018

great overview on tuning techniques with lots of examples, conveys the intuition behind the different concepts as well as its advantages and disadvantages

創建者 Suraj K J

Jan 01, 2019

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

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 SACHIN S

Jan 02, 2019

Valuable content :)

創建者 To P H

Jan 01, 2019

Great course

創建者 龚鑫

Jan 27, 2019

very nice, I learned a lot from that course!

創建者 Muralidhar P

Jan 27, 2019

Really good course for practical purpose... Many concepts I learn from here

創建者 Paul F

Jan 27, 2019

Great learning experience. I'm going to keep going. I want to learn more.

創建者 Jesus P

Jan 28, 2019

Great course

創建者 Kaiqiang W

Jan 27, 2019

Pretty Good!

創建者 Pochadri A

Jan 27, 2019

very good understanding of the hyperparameters for various optimization algos is given, with very good intution.

創建者 Manawaduge D

Jan 26, 2019

Excellent resource for learning deep learning basics and techniques. Clear and intuitive instruction style.

創建者 Luca C

Jan 27, 2019

Knowing this makes the difference. How do you evolve from being a monkey behind a keyboard knowing how to tensorflow a NN to homo sapiens? The concepts provided in this course will make the job.

pros: + workflow to address and optimize your supervised learning problems

+ wide and easy-to-get overview on most essential concepts

+ improves your understanding of NN; those who are already familiar with these concepts might still benefit from this clear and insightfull presentation

cons: - programming assignment will not suffices to give you a sufficient knowledge of tensorflow to make your own applications, you should integrate a bit. (However, mastering tensorflow is not the intention of the assignment).