Torch Ratings

Overall
4.2/5
Ease of Use
4.4/5
Customer Service
4.1/5

About Torch

Scientific computing framework that provides deep machine learning algorithms and uses Lua-based scripting language. Learn more about Torch

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Showing 9 of 9 reviews

Showing Most Helpful

Showing 9 of 9 reviews

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Rating
Company Size
Reviewer's Role
Length of Use
Frequency of Use
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Kenechi Franklin D.
Instructor
Research, 11-50 employees
Used the software for: 6-12 months
Overall Rating
4/5
Ease of Use
5/5
Customer Service
5/5
Features
4/5
Value for Money
4/5
Likelihood to Recommend
8/10
Reviewer Source 
Source: Capterra
June 15, 2019

“Deep Learning made easy with Pytorch”

OverallI enjoyed using pytorch to learn and build deep learning models
ProsPytorch is quite easy to use. There is a large support community.
ConsDoesn't integrate well with scikitlearn. Its not made for production mainly for learning.
Reviewer Source 
Source: Capterra
June 15, 2019
Verified Reviewer
Computer Software, Self-employed
Used the software for: 1-2 years
Overall Rating
4/5
Ease of Use
5/5
Customer Service
4/5
Features
5/5
Value for Money
4/5
Likelihood to Recommend
10/10
Reviewer Source 
Source: Capterra
May 16, 2019

“As Easy as Pytorch”

OverallPytorch is an awesome machine/deep learning framework for both beginners and researchers. And it is also very easy to work with and understand.
Pros1. Pytorch is very easy to use, simple to understand especially for beginners. 2. Pytorch is developer friendly, and easy to debug. 3. Pytorch comes with a lot of pretrained models to work with
ConsPytorch doesn't support any visualization tool such as tensorboard.
Reviewer Source 
Source: Capterra
May 16, 2019
Miroslav A.
Education
Libraries, Self-employed
Used the software for: 1-2 years
Overall Rating
5/5
Ease of Use
5/5
Customer Service
4/5
Features
5/5
Value for Money
5/5
Likelihood to Recommend
9/10
Reviewer Source 
Source: Capterra
August 18, 2018

“Torch is glamorous”

OverallMy experience is very convenient and I use it every day in my professional work.
ProsSpeed, design, easy to use, easy to download. It can also be used for professional use of the Internet.
ConsIt's hard not to like something when it works very well, but something needs to be done on transparency when using it.
Reviewer Source 
Source: Capterra
August 18, 2018
Verified Reviewer
Banking, 201-500 employees
Used the software for: 6-12 months
Overall Rating
4/5
Ease of Use
4/5
Customer Service
4/5
Features
4/5
Value for Money
4/5
Likelihood to Recommend
8/10
Reviewer Source 
Source: Capterra
August 13, 2019

“Torch”

OverallGood web browser with high browsing speed. And easy to use.
ProsBrowsing speed is slightly good. Downloads are much faster than other web browsers. The software is easy to use because of the user friendly environment.
ConsUpdates reqire lot amount of data. It blocks some websites. No adware protection. Background tasking consumes more memory from the RAM.
Reviewer Source 
Source: Capterra
August 13, 2019
francesca w.
teacher
E-Learning, 11-50 employees
Used the software for: 1-2 years
Overall Rating
4/5
Ease of Use
5/5
Customer Service
5/5
Features
4/5
Value for Money
5/5
Likelihood to Recommend
8/10
Reviewer Source 
Source: Capterra
December 12, 2018

“Torch- The alternative”

ProsI find Torch the best alternative to chrome. I also like the "download videos" button. It is very helpful and I always use this browser when downloading videos from the internet.
ConsIt could appeal a little bit chaotic for the ones used to chrome, but it's a matter of time to get used to it.
Reviewer Source 
Source: Capterra
December 12, 2018
Matt D.
Customer Reference Manager
Unspecified
Used the software for: 1-2 years
Overall Rating
4/5
Ease of Use
3/5
Customer Service
4/5
Features
3/5
Value for Money
4/5
Reviewer Source 
Source: Capterra
April 7, 2018

“We leverage TORCH for analytics engine and tracking”

ProsI like how you can filter your tracking by region and verticals which helps with reporting out the numbers on a monthly or quarterly basis.
ConsI like most of the features although sometimes our tracking gets a little busy with the amount of information that gets put in each code.
Reviewer Source 
Source: Capterra
April 7, 2018
Verified Reviewer
Higher Education, Unspecified
Used the software for: 6-12 months
Overall Rating
5/5
Ease of Use
4/5
Customer Service
4/5
Features
4/5
Value for Money
4/5
Reviewer Source 
Source: Capterra
April 19, 2018

“A efficient GPU first scientific computation library supports a great number of Machine Learning Alg”

ProsTorch uses Lua which has great performance. Normal Lua code performance can reach 80% performance of C with transparent JIT optimization. Lua is easy to read and learn. It is concise. Besides, Lua has a direct interface to use C libraries. Since Torch is implemented with C, it is portable to different environments.
ConsAlthough Lua supports Linux, Mac and embedded systems, it needs LuaJIT environment when it runs. This makes Torch less used in industrial production.
Reviewer Source 
Source: Capterra
April 19, 2018
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Ginés H.
Research Associate at Perceptual Computing Laboratory
Higher Education, Unspecified
Used the software for: 6-12 months
Overall Rating
4/5
Ease of Use
3/5
Customer Service
3/5
Features
4/5
Value for Money
5/5
Likelihood to Recommend
1/10
Reviewer Source 
Source: Capterra
June 27, 2018

“Another good free alternative for deep learning”

ProsIt incorporates most of the state-of-the-art research and papers algorithms for deep learning. The new PyTorch solves the main issue of this software (it uses Python instead of LUA)
ConsThe main cons is having to program in LUA. Nowadays, Matlab and Python are the main programming languages. Having to program in LUA makes it hard to prototype for most of us.
Reviewer Source 
Source: Capterra
June 27, 2018
Avatar Image
Aanu B.
Computer Engineering Student
Computer Software, Self-employed
Used the software for: Less than 6 months
Overall Rating
4/5
Ease of Use
5/5
Customer Service
3/5
Features
5/5
Value for Money
5/5
Likelihood to Recommend
9/10
Reviewer Source 
Source: Capterra
May 16, 2019

“An easy to use Open Source Machine Learning package”

ProsIt uses a dynamic computational graph (it is pythonic).
ConsIt becomes complex when trying to integrate scykitlearn (a python library)
Reviewer Source 
Source: Capterra
May 16, 2019