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

学生对 DeepLearning.AI 提供的 Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的评价和反馈

4.9
63,489 个评分

课程概述

In the second course of the Deep Learning Specialization, you will open the deep learning black box to understand the processes that drive performance and generate good results systematically. By the end, you will learn the best practices to train and develop test sets and analyze bias/variance for building deep learning applications; be able to use standard neural network techniques such as initialization, L2 and dropout regularization, hyperparameter tuning, batch normalization, and gradient checking; implement and apply a variety of optimization algorithms, such as mini-batch gradient descent, Momentum, RMSprop and Adam, and check for their convergence; and implement a neural network in TensorFlow. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

热门审阅

DD

Mar 28, 2020

I have done two courses under Andrew ng and I am grateful to Coursera for their highly optimised and easily learning course structure. It has greatly help me gain confidence in this field. Thank you.

AM

Oct 8, 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

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1051 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 1075 个评论(共 7,283 个)

创建者 Nicholas S

Mar 13, 2018

There are a lot of things you don't realize you need to be doing when you first get started, and this course helps you to understand when and how to tweak things.

创建者 glody m

Jan 20, 2025

I learned from other courses but I never understood the optimizer(Momentum, Rmsprop, Adam) and the batch norm until this course, thanks Andrew and the whole team

创建者 Mohammed A A D

Mar 23, 2023

Andrew Ng is great as always, but I wish you would expand upon your introduction to Tensorflow by adding another section that provides more in-depth information.

创建者 Dibyajyoti D

Nov 13, 2020

A Course with proper depth and must do for all deep learning enthusiasts. This course also provides a proper introduction and hands-on experience with TensorFlow

创建者 Siddharth S

Aug 7, 2020

The course is perfect for those who love learning the intuitions and inner working of Neural Network, a bit difficult for non - mathematical background learners.

创建者 Marc S O

Jul 3, 2020

I like how the course guide through the math as easy as possible and focused on having the intuition that really helps during practical machine learning projects

创建者 Anderson J S d O

Jun 29, 2020

Muito Obrigado pela oportunidade Coursera. Os cursos de vocês desvenda toda teoria que engloba o assunto. Obrigado pela oportunidade e pelo excelente curso !!!!

创建者 Raakesh S

Jun 12, 2020

Always in favour of Dr. Andrew Ng's course. But, it would be good to improve the difficulty of programming exercise though it is quite fun and really informative

创建者 Ankur S

May 30, 2020

Got to learn lot of things from this course. Like hyper-parameter tuning, softmax, batch normalization, tensorflow etc. The quiz and assignment was very helpful.

创建者 Shweta S

Dec 21, 2019

This course is really helpful in improving neural networks and getting a better understanding of deep neural networks and tensorflow assignment is very helpful.

创建者 J P

Dec 4, 2019

Really enjoy Andrew Ng's teaching style. I like that he takes the time explain the principles and reasons behind the various methods and optimisation strategies.

创建者 JanessaTech Z

Nov 6, 2019

I strongly recommed the one who has learnt this course learn this course. I cannot image I mastered a lot of knowlege in a just few days. Thanks a lot, Andrew Ng

创建者 Somashekhar H

Oct 19, 2019

The Course covered for steps/procedures for improving the performance by parameter tuning of the neural network models.The Intuition forTensor flow is very good.

创建者 Shridhar H

Aug 25, 2019

This course has helped me understand the core concepts of Neural Networks. However, the assignments are very much easy and hints pretty much give away the codes.

创建者 Alexey D

Mar 4, 2019

Great structured course which helped me a lot with understanding of the main aspects of how Neural Networks do what they do, and how to make them predict better.

创建者 Michael B

Oct 3, 2017

Very good explanations of parameter tuning etc. and especially a good and interesting introduction to TensorFlow. Liked the way the tutorial is set up very much.

创建者 Sagar C

Mar 5, 2021

An excellent experience through this course. The programming exercises are up to the mark. This course helped me a lot to cover regularization and optimization.

创建者 Hooi H L

Aug 13, 2020

Very detail explanation that provides very clear intuition of the concept. The assignment is very good in putting the theory into the practical user experience.

创建者 Rahul A

Jun 26, 2020

A very well explained course with details of tuning Neural Networks for improved performance. Andrew Ng makes it pretty easy to understand. Thank you very much!

创建者 John G

May 23, 2020

What an amazing course!! We are using Machine Learning and Deep Learning at my job. I feel so far ahead of my peers because of this course. Thank you Andrew!!

创建者 Raghunandan K b

Apr 26, 2020

very good course now i know how to tune your model and make it more effcient i'm glad such courses exist cant wait to complete next course of the specialization

创建者 Animesh S

Jun 16, 2019

Pretty decent intro, could have had more on programming in Tensorflow, so that TensorFlow functions for every concept become a part of my habit as a programmer.

创建者 Jitin K

Mar 5, 2019

Prof. Ng is a great instructor. The course is very well structured and broken down into easily digestible materials. Very useful for a ML/Deep Learning Student.

创建者 Pete C

Jun 21, 2018

Very well delivered. A few mistakes in the notes and programming exercises, but identifying those just makes you think through the problems more. Learned a lot.

创建者 Devender K

May 14, 2018

Covers the basic of tuning very well. Exercises to provide solutions to real problems are needed. This will help in independently creating better understanding.