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返回到 Introduction to Neural Networks and PyTorch

学生对 IBM 提供的 Introduction to Neural Networks and PyTorch 的评价和反馈

4.4
1,897 个评分

课程概述

PyTorch is one of the top 10 highest paid skills in tech (Indeed). As the use of PyTorch for neural networks rockets, professionals with PyTorch skills are in high demand. This course is ideal for AI engineers looking to gain job-ready skills in PyTorch that will catch the eye of an employer. AI developers use PyTorch to design, train, and optimize neural networks to enable computers to perform tasks such as image recognition, natural language processing, and predictive analytics. During this course, you’ll learn about 2-D Tensors and derivatives in PyTorch. You’ll look at linear regression prediction and training and calculate loss using PyTorch. You’ll explore batch processing techniques for efficient model training, model parameters, calculating cost, and performing gradient descent in PyTorch. Plus, you’ll look at linear classifiers and logistic regression. Throughout, you’ll apply your new skills in hands-on labs, and at the end, you’ll complete a project you can talk about in interviews. If you’re an aspiring AI engineer with basic knowledge of Python and mathematical concepts, who wants to get hands-on with PyTorch, enroll today and get set to power your AI career forward!...

热门审阅

JA

Jul 8, 2023

A well curated course filled with stuff essentially needed to acquire the knowledge of Deep Neural Networks with PyTorch and encompasses the domain of practical labs as well

DD

Jul 12, 2020

Excellent Course. I love the way the course was presented. There were a lot of practical and visual examples explaining each module. It is highly recommended!

筛选依据:

376 - Introduction to Neural Networks and PyTorch 的 400 个评论(共 417 个)

创建者 Pakawat N

May 5, 2020

There are a lot of mistakes in the slides and video but no updates

创建者 Liam A

Feb 5, 2021

OK for beginners, superficial exercises and quizzes.

创建者 Suman S

May 3, 2020

The course is too heavy to have just one project.

创建者 谭皓博

Jul 15, 2020

A number of mistakes were found in the course.

创建者 doha k

Nov 18, 2024

Was really good and could make a base for ML.

创建者 Yuping Y

Apr 17, 2022

It is basically learning by copying code

创建者 Hazoor A

Feb 17, 2025

good but I can't find the certificate.

创建者 Hugues L

Jul 3, 2024

Too theoritical

创建者 Tanmay G

Feb 20, 2022

Good course

创建者 Qihan L

Aug 24, 2022

This

创建者 Naman

Sep 24, 2025

GOOD

创建者 Johannes D

Jun 10, 2022

More "Beginner" than "Intermediate"

From the title i expected a course introducing the depthos of PyTorch for (intermediate) Data Scientists. Instead the course is a shallow introduction to feed forward and convolutional neural networks with a little bit of PyTorch. The course targets beginners who want to learn the basics of ANN / CNN models and learn their first deep learning framework. All others should search for another course.

创建者 Marc J

Mar 23, 2024

There is some good information and explanations in weeks 5 and 6. Overall the course is very unstructured and most of the big "Whys" are not clarified. In addition some basic rules of teaching should be learned by the instructors and applied to design this course. If you should do it in the labs you MUST talk about it in the videos! People payed for these courses so they MUST NOT be forced to learn contents autoditactically!

创建者 Dan P

May 13, 2022

This course is an OK introduction to Pytorch and neural networks for beginners, but many better such introductions exist. fast.ai would be my first recommendation. There are numerous spelling errors, some of which seriously affect the correctness of statements.

The quizzes only test trivial knowledge, and don't go into any real depth.

The total content of the course is maybe 4 hours.

创建者 Will G R

Feb 11, 2021

Material is good but riddled with grammatical errors and random typos that only make learning more difficult. Also topics are covered at a very minor depth and I often had to look through many additional resources to understand each topic presented.

创建者 Jaeoh S

Apr 29, 2023

The material is fine but the presentation is not good.

-Often the lecturer shows not so important slides a few seconds but important slides only 0.5sec.

-So much about follow the code than really explaining what's going on.

创建者 Iain G

Apr 2, 2020

The quizzes are a complete joke. If you're hoping employers will take Coursera certificates seriously, the standard of assessment here is not good enough by a long long way.

创建者 Moritz A

Jun 12, 2022

When doing IBM AI Engineering Course, I will hear content twice here. Explanations could be better. No graded Assignment. Only Quizes with 2-3 question with 2-3 choices.

创建者 Victor B

Mar 27, 2020

I found the course instruction is confusing, sequential and class module should be in different video parts

创建者 Husam A

Mar 21, 2024

Some of the content is not well organized, most of the courses are labs, and they are outdated.

创建者 Jack C

Mar 10, 2020

The external tool did not work. I believe there were some maintenance issues. Not good enough.

创建者 Nicolas B

Oct 20, 2021

The course contents are not very interesting, and the quizzes are way too easy.

创建者 Alessandra B

May 9, 2020

Not engaging. Had problems opening the notebooks at the beginning of the course

创建者 sylvain g

Mar 19, 2020

A lot of mistake in the materials.And some labs exercise were unreachable.

创建者 Karthik R

Apr 9, 2021

Quite a few errors and lacking flow in the explanations.