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Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization(으)로 돌아가기

deeplearning.ai의 Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization 학습자 리뷰 및 피드백

39,941개의 평가
4,252개의 리뷰

강좌 소개

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....

최상위 리뷰


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


Dec 24, 2017

Exceptional Course, the Hyper parameters explanations are excellent every tip and advice provided help me so much to build better models, I also really liked the introduction of Tensor Flow\n\nThanks.

필터링 기준:

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization의 4,186개 리뷰 중 76~100

교육 기관: Andrei K

Dec 13, 2018

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

교육 기관: Zhaiyu C

Dec 13, 2018

learnt a lot!

교육 기관: Georgy K

Dec 25, 2018

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

교육 기관: Emmanouil K

Dec 25, 2018

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

교육 기관: 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.

교육 기관: dsp

Dec 30, 2018

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

교육 기관: Debadatta B

Dec 31, 2018

One of the finest. Thank you Andrew Sir.

교육 기관: YIXIANG Z

Dec 31, 2018

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

교육 기관: Can K

Jan 01, 2019

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

교육 기관: 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

교육 기관: Suraj K J

Jan 01, 2019

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

교육 기관: Krishna P G

Jan 02, 2019

Provides good overview of hyperparameters and methods to tune them

교육 기관: Eoghan T

Jan 01, 2019

Thanks, Prof. Ng!

교육 기관: 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.

교육 기관: SACHIN S

Jan 02, 2019

Valuable content :)

교육 기관: To P H

Jan 01, 2019

Great course

교육 기관: 龚鑫

Jan 27, 2019

very nice, I learned a lot from that course!

교육 기관: Muralidhar P

Jan 27, 2019

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

교육 기관: Paul F

Jan 27, 2019

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

교육 기관: Jesus P

Jan 28, 2019

Great course

교육 기관: Kaiqiang W

Jan 27, 2019

Pretty Good!

교육 기관: Pochadri A

Jan 27, 2019

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

교육 기관: Manawaduge D

Jan 26, 2019

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

교육 기관: 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).

교육 기관: Gilvandro F d M N

Jan 28, 2019

great journey into deep learning world