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學生對 IBM 提供的 Deep Neural Networks with PyTorch 的評價和反饋

4.4
1,022 個評分
226 條評論

課程概述

The course will teach you how to develop deep learning models using Pytorch. The course will start with Pytorch's tensors and Automatic differentiation package. Then each section will cover different models starting off with fundamentals such as Linear Regression, and logistic/softmax regression. Followed by Feedforward deep neural networks, the role of different activation functions, normalization and dropout layers. Then Convolutional Neural Networks and Transfer learning will be covered. Finally, several other Deep learning methods will be covered. Learning Outcomes: After completing this course, learners will be able to: • explain and apply their knowledge of Deep Neural Networks and related machine learning methods • know how to use Python libraries such as PyTorch for Deep Learning applications • build Deep Neural Networks using PyTorch...

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SY
2020年4月29日

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!!

RA
2020年5月15日

This is not a bad course at all. One feedback, however, is making the quizzes longer, and adding difficult questions especially concept-based one in the quiz will be more rewarding and valuable.

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151 - Deep Neural Networks with PyTorch 的 175 個評論(共 227 個)

創建者 Felix H

2020年6月30日

The course gave a decent and well-structured introduction to PyTorch. However, I would have hoped for less typos (including in the code on the slides), more challenging and instructive quizzes and real exercises (there are instructive labs, but the practice section is usually only a very slight modification of the already given code).

創建者 Mitchell H

2020年8月2日

Awesome course for learning the basics/fundamentals of Pytorch. However the labs often would not run some of the more complex or CPU-intensive models, so I would suggest downloading the labs to your local machine. Also could have also used more assignments for hands-on experience, but I would recommend this course.

創建者 drygrass

2020年12月27日

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.

創建者 Josephine J

2021年7月19日

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.

創建者 bob n

2020年10月13日

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.

創建者 Kaustubh S

2021年7月8日

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

創建者 Kishan B S

2021年1月22日

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!

創建者 Richard D

2021年9月29日

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.

創建者 Edward J

2020年10月18日

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.

創建者 Jesus G

2020年6月19日

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.

創建者 André M

2020年12月14日

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.

創建者 Evgeniya K

2020年9月20日

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.

創建者 Ujjwal J

2020年11月3日

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.

創建者 TJ G

2020年1月11日

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.

創建者 Jian P

2020年5月10日

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

創建者 Mehrdad P

2020年6月24日

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

創建者 Patricio V

2020年5月31日

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

創建者 Yosi P

2021年5月15日

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

創建者 Yanjie T

2020年4月5日

the course is good, detailed, and practical, but the shortcoming is the lab quality, need to be imporved

創建者 肖一

2021年8月19日

It's a basic course of using PyTorch to establish CNN or other type of model,useful but kind of simple.

創建者 Pavel S

2021年6月8日

This is a nice course overall, however quizzes are very easy and course content is not 100% accurate.

創建者 Vagif M

2021年6月20日

I​ would like to get more difficult Quizez... The Labs are very detailed and understandable.

創建者 何雪凝

2021年2月21日

Detailed explanation about pytorch! I expect more examples and harder tests and assignments

創建者 Vhui77@gmail.com

2021年3月5日

Course is good but too long and the instructor may want to slow down his narrative.

創建者 Nyaniso N

2021年6月30日

very long! very very long long! very very very long long long. Too long!!!