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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

筛选依据:

1351 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 1375 个评论(共 7,283 个)

创建者 Mahdi K B

Jun 4, 2022

Great Instructor, Superb and up-to-date material, accessible for not math savvies,

Best possible instruction ever for such a heavy topic.

创建者 SHAHID K

Jun 2, 2022

Best course in deep learning , this course is a gem , usually the methods and technics taught in this course aren't taught in academics.

创建者 Taha A A

Nov 2, 2021

The course content were well organized and so good but the programming exercises were a bit easy and were implemented by a large portion.

创建者 Anirban S

Apr 25, 2021

The lucid explanation provided by Andrew Ng goes a long way in helping the students build core concepts in a logically structured manner.

创建者 Hαsίβυπ R

Aug 31, 2020

All are the Courses are just amazing and helpful and Dr. Andrew Ng is great instructor .... i just loved his way of teaching.... Thanks !

创建者 Bilal Z

Jun 29, 2020

It was a fabulous experience taking this course.I learned a lot,although not 100% as majority of concepts were new but to certain extent.

创建者 Hasnat A H

Jun 1, 2020

The importance of tuning hyperparameters are taught with very good examples. Other techniques for optimization are also discussed nicely.

创建者 Shantanu M

Apr 1, 2020

best to understand the internal working of neural networks and different parameter tunning to make their functioning faster and efficient

创建者 Divyansh H

Mar 13, 2020

I enjoyed learning from this course. The programming assignments are well-written to apply the knowledge imparted through video lectures.

创建者 BIN N

Jun 16, 2019

I am happy to learn a lot about Hyperparameter tuning. I think that I will refer to this course when implementing neural networks myself.

创建者 Arun K

Mar 9, 2019

Really an awesome course. Learnt about the math behind major Deep learning algorithms. A fun course and loved the saddle point reference.

创建者 alrojas68

Nov 15, 2018

This course covers so deep insight on what is like to train Neuro Networks. Extremely useful. Thanks a lot to Andrew Ng and all the team.

创建者 Poorna J

Aug 29, 2018

The Course that gave me confidence to overcome the performance constraints of ANN - now I have a bag of tricks to improve the performance

创建者 Huifang L

May 4, 2018

The professor did a great job in explaining the intuition and shared a lot of practical tips. Programming homework is very well designed.

创建者 Jun K

Apr 21, 2018

A wonder course, which is always the case for Andrew's course. It was nice to learn what's happening with momentum and Adam optimization.

创建者 Aashish K

Jan 8, 2022

I use to be always scared by the terms like Hyperparameter Tuning, Regularization. After this course, I am pretty comfortable with them.

创建者 duc-thanh t

Mar 10, 2021

The course is a perfect balance between theory and "hands on" assignment to familiarise yourself with the optimisation of neural network

创建者 Aditi S

Feb 8, 2021

This course provides great insights into multiple ways of improving a deep neural network in practice. Well structured and rich content.

创建者 Andrzej C

Feb 1, 2021

One of the best courses I've attended; gives a lot of intuition, but some more programming exercises, even optional ones would be great.

创建者 Ralapalli S N M B

Dec 20, 2020

Just reading a book of all these concepts is not enough to have a deep understanding. This course is just right to learn what is needed.

创建者 Rafat R

Sep 13, 2020

Some of the lessons were quite confusing and still not clear but Mr Andrew was absolutely brilliant. Loved the time spent on the course.

创建者 Shamith A

Jun 24, 2020

The theory and explanation is awesome. But, I wish the last programming exercise will be adapted to TensorFlow 2 (instead of TensorFlow)

创建者 Keshav B

Jun 1, 2020

It was definitely a bit more difficult than the previous one, but also it was just as much fun doing this course as the previous one. <3

创建者 Great S L

Jul 4, 2019

This class is amazing for those who want to start their career in the world of Data Science with Neural Network!!! Highly recommended!!!

创建者 Rahuldeb D

Jul 23, 2018

Another awesome course. Things have been discussed in great details. I would like to thanks Coursera for offer such a wonderful course.