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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
1,876 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

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!

SY

Apr 29, 2020

An extremely good course for anyone starting to build deep learning models. I am very satisfied at the end of this course as i was able to code models easily using pytorch. Definitely recomended!!

筛选依据:

276 - Introduction to Neural Networks and PyTorch 的 300 个评论(共 411 个)

创建者 Carlos R

Feb 27, 2022

Exceptional course. The lectures were little monotonous and robotic, I like this courses to be instructed by human speakers, but this did not affect the content of this course, the clarity on the topics and how well it was explained, it helped also to improve my knowledge on computer vision.

Great course.

创建者 drygrass

Dec 27, 2020

Very good fundamental course.

It will be good if real data is used in lab rather than using virtual data.

Also, the notebook's hyperlink of the final assignment isn't work. I can't import the notebook to Watson studio and finish the assignment, please fix it, thank you.

创建者 Josephine J

Jul 19, 2021

Explanation was confusing as time, and text-to-speech lecturer made it harder to engage. Lots of typos and unintuitive phrasing. However, taught useful skills, and all the resources were there to do own thinking/research and eventually understand everything.

创建者 bob n

Oct 13, 2020

Concepts presented in nice bite size chunks. Labs help reinforce concepts. BUT, felt like course was just a bunch of pieces with little assembly. Kinda like finding a box of LEGOs (r) with nothing to really build from them.

创建者 Camilo A D E

Sep 29, 2025

a pesar de que la tematica es muy buena, nunca en todos los cursos del componente profesional sugieren bibliografia para ayudar a enriquecer los conceptos vistos, cuyas explicaciones van con videos cortos

创建者 Kaustubh S

Jul 8, 2021

Good explanation with examples of code in python. The concept of convolution can be elaborated upon further as to it's genesis and how multiple processing techniques such as max pooling impact performance

创建者 Kishan

Jan 21, 2021

Content wise this is very good for beginners, who have basic Numpy, Python, DL understanding. Only issue would be the automated voice of the instructor. That can be changed to make it more human friendly!

创建者 Richard D

Sep 29, 2021

The material is good. I found the assignments a bit too easy. A bit more challenge would be welcome. I found the artificial voice with the lectures to be distracting. The AI isn't quite good enough.

创建者 Edward J

Oct 18, 2020

I learned loads in this course. I'm quite familiar with Keras so it was good to use a different package. The instruction was very clear but LONG. I would have liked the labs to have been more involved.

创建者 Jesus G

Jun 19, 2020

A nice landing on Pytorch and basic Deep Learning concepts. I liked the collection of code and practical examples. If only, I missed having more difficult practical assignments along the course.

创建者 Adam F

Dec 2, 2022

Excellent course, works its way through basics to fully fledged machine learning models at a good pace. A few of the examples used in the lab code throw errors, these should be rectified

创建者 André M

Dec 14, 2020

Course material is great, although it has some errors, as on the video slides as in the notebooks. This should be rectified. Also, the assessments and quizzes should definitely be harder.

创建者 Mohankumardash

Jun 2, 2023

Pros: The course is extremely well structured. The presentations are very informative and clear also well explained.

Cons: The assignments and quizzes are not challenging at all

创建者 Deleted A

Sep 20, 2020

Good to dive into Deep Learning and get some PyTorch basics. However, there're sometimes mistakes in the assignments. Also, the explanations can sometimes be a bit confusing.

创建者 Ujjwal J

Nov 2, 2020

Amazing course for a beginner in Deep Learning & Pytorch.

I gave 4 stars as I expected it to be more pytorch heavy.

Overall, a really good crafted course.

创建者 TJ G

Jan 11, 2020

Very intensive course. Could do more training labs. But this is definitely a very dense course. Extremely helpful to get started on ML/Deep Learning.

创建者 Jack P

May 10, 2020

Good introduction of PyTorch. There are some minor code errors and inconsistencies in the material but generally not difficult to figure it out.

创建者 Steve H

Aug 30, 2024

Really enjoyed this course - the labs were excellent and helped me understand the process more easily than simply looking at the math.

创建者 Andres R

Feb 27, 2025

Course is good. The data for the last project is a little bit difficult for the proposed model, so you can't get satisfying results.

创建者 Hu J

Feb 26, 2023

Good PyTorch training course with clear structure and content in general, except that there are some small bugs in the labs.

创建者 Mehrdad P

Jun 24, 2020

The courses provides basic knowledge, but I wish that it was a bit more advanced and had more challenging assignments.

创建者 Paul W

Dec 17, 2023

Good course. Quite a few typos, videos too fast, and needed to fix some labs to get them to run hence only 4 stars.

创建者 Patricio V

May 30, 2020

Some of the courses are quite harsh, but finally come all togheter and there's a light at the end of the tunnel.

创建者 Diogo C

Aug 2, 2025

Drops a lot of difficult concepts very fast. Should have a slower pace with for e better learning experience.

创建者 Yosi P

May 15, 2021

The course was great! The material and instruction is really nice. But so many typo especially in the quiz.