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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
63,492 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

AS

Apr 18, 2020

Very good course to give you deep insight about how to enhance your algorithm and neural network and improve its accuracy. Also teaches you Tensorflow. Highly recommend especially after the 1st course

AA

Oct 22, 2017

Assignment in week 2 could not tell the difference between 'a-=b' and 'a=a-b' and marked the former as incorrect even though they are the same and gave the same output. Other than that, a great course

筛选依据:

1876 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 1900 个评论(共 7,283 个)

创建者 LAAVANYA M

Jun 4, 2020

Wonderful course for interested learners in DNN. It is very useful for my research enhancement.

Thank you

创建者 Zhenxuan S

Apr 24, 2020

Wel, I think perhaps pytorch is easier than tensorflow and it may be a better alternative for the course

创建者 Martin E

Feb 22, 2020

Muy bueno la parte de Regularizacion y Optimizacion. La intro de Tensorflow no suma mucho en este curso.

创建者 PRANJAL J

Jan 14, 2020

Very Good content for learning the parameters tuning and well taught lectures on regularization methods.

创建者 Mandeep S G

Dec 18, 2019

Provide good insights to tune neural networks from scratch and also provides introduction to tensorflow.

创建者 David M

Oct 14, 2019

Another awesome step on the journey with Andrew Ng. This course was fantastic, just like all his others.

创建者 Igor N

Sep 7, 2019

Very good! It leverage your knowledge about deep learning making you a better professional in this area!

创建者 Niwanshu M

Sep 3, 2019

Sir , you're amazing . About to complete this course within 3 days . Very much excited to learn from you

创建者 Bhishan P

May 30, 2019

This course helps to understand further knowledge that we learned in the previous part 1 specialization.

创建者 Ventsislav Y

Dec 15, 2018

Awesome course. I really like the detailed explanations and the exercises. I'm looking for the next one.

创建者 Quentin G

Jul 26, 2018

Encore un excellent cours, faisable en 3-4 jours pour un passionné. Merci pour toutes ces connaissances.

创建者 Jingbo H

Jun 13, 2018

very good course: good teaching, useful materials, very good assignments to master the ideas. I like it!

创建者 向金芳

May 12, 2018

I think it's so good for me . In the process ,l learn so much about code to improve deep neural network.

创建者 Arunmozhivarman S

Apr 22, 2018

It would be better, if some Tensorflow related tutorials or examples been provided to jump start easily.

创建者 Michal M

Mar 4, 2018

Coding exercises were really good in this one. Easy to follow and gave you the conceptual understanding.

创建者 David K

Dec 9, 2017

Great in depth course on how things actually work behind the available deep learning framework out there

创建者 ARUN Y

Dec 1, 2017

Build confidence about using tensorflow for deep learning. Also some clue on hyperparameter optimization

创建者 Daolong W

Oct 31, 2017

very helpful! saved huge amount of my time in understanding those concepts and methods by self education

创建者 Guru C T K

Oct 29, 2017

Most of the concepts were explained clearly and in a very practical manner. Thanks Prof. Ng and the TAs!

创建者 Deleted A

Oct 28, 2017

Very interesting, delivered with Andrew Ng's ability to explain complex topics in a very accessible way.

创建者 Andrew F

Oct 1, 2017

A solid course in working with deep neural networks. The focus on hyper parameter tuning is instructive.

创建者 Jonathan F

Sep 11, 2017

Excellent! Brings great tips and confidence to troubleshoot your algorithm + a good intro to TensorFlow.

创建者 Caio V

Sep 4, 2017

This is a Must Do course. I learned a lot of technics that is improving my result in my current project.

创建者 Sergio L

Aug 20, 2017

Great follow-up, I'm very excited to use frameworks too with a full understanding of the basic concepts.

创建者 Samer A

Sep 23, 2025

A great course thanks so much, I still after two years go back to check the notes I made while studying