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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
40,909 個評分
4,352 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:

301 - Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization 的 325 個評論(共 4,285 個)

創建者 Benson H

Mar 16, 2019

great!

創建者 Anchal S

Mar 17, 2019

Geate Course

創建者 蔡中祥

Mar 17, 2019

教授了很多调参技巧,还有些优化算法,平时用框架看不到这些实现,能手动来一次,加深了认识,如xavier初始化,即使有些从事深度学习的同事也不很清楚内涵,尽管算法很简单。

創建者 Siddhant M

Mar 17, 2019

Really Helpful for strengthening the basics of hyper-parameter tuning.

創建者 Sidhant P

Mar 07, 2019

It was a great learning experience.

創建者 Aniruddha S H

Mar 19, 2019

this was amazing. Explained almost all the hyperparameters, why we need those and how can we optimizat those. along with regularization, dropouts. Everything was explained from need to the hands on implementation.

創建者 Ali S

Mar 19, 2019

This is a great course like other ones in this specialization. I learned from this course why we need regularization, how to do them exactly, what are the rules-of-thumb for setting hyperparameters, and how to find them systematically.

創建者 Ayon B

Mar 19, 2019

Good explanation of concepts

創建者 Walker J

Mar 19, 2019

Great course that has thought me a lot about building practical deep learning models.

創建者 郑韬

Mar 18, 2019

Excellent course. I feel it's cool to learn deeplearning in such amazing approach! Thank you Pro NG.

創建者 Fred K

Mar 18, 2019

Very clearly explained, covers the underpinnings of a lot of the most used algorithms.

創建者 Narayanan S

Mar 19, 2019

Very practical content. Good introduction to frameworks as well.

創建者 Aishwarya R

Mar 19, 2019

deeplearning.ai courses are worth the time and effort

創建者 Sagar K

Mar 19, 2019

Liked the content of this course. I would have liked optional videos about the mathematics behind the optimization algorithms. Appreciate the focus on building the optimization algorithms from ground up before learning a framework.

創建者 ChangIk C

Mar 20, 2019

Just like all other Professor Andrew's class, best

創建者 Regi M

Mar 20, 2019

The subject was covered in amazing detail. The highlight was that the great balance of concepts and practice.

創建者 Rahul S

Mar 20, 2019

Amazing explanation and examples made the course so much interesting, completed a week course in a day.

創建者 Jan N

Mar 20, 2019

Great

創建者 Hassan E

Jan 13, 2019

Amazing

創建者 Ahmed D

Jan 13, 2019

very amusing

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 Muhammad A

Jan 13, 2019

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

創建者 Yixing J

Dec 27, 2018

very helpful course. Hope there could be more exercises on tuning hyper parameters.

創建者 Lakshmi N S

Jan 14, 2019

Nice course.