Average Ratings

4 Reviews

  • 4.5 / 5
    Overall

  • 4 / 5
    Ease of Use

  • 4 / 5
    Customer Service

Product Details

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About Torch

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


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Torch Features

  • Convolutional Neural Networks
  • Document Classification
  • Image Segmentation
  • ML Algorithm Library
  • Model Training
  • Neural Network Modeling
  • Self-Learning
  • Visualization
  • Deep Learning
  • ML Algorithm Library
  • Model Training
  • NLP
  • Predictive Modeling
  • Statistical / Mathematical Tools
  • Templates
  • Visualization

Torch Reviews Recently Reviewed!


Torch is glamorous

Aug 18, 2018
5/5
Overall

5 / 5
Ease of Use

5 / 5
Features & Functionality

4 / 5
Customer Support

5 / 5
Value for Money
Likelihood to Recommend: 9.0/10 Not
Likely
Extremely
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Pros: Speed, design, easy to use, easy to download. It can also be used for professional use of the Internet.

Cons: It's hard not to like something when it works very well, but something needs to be done on transparency when using it.

Overall: My experience is very convenient and I use it every day in my professional work.

We leverage TORCH for analytics engine and tracking

Apr 07, 2018
4/5
Overall

3 / 5
Ease of Use

3 / 5
Features & Functionality

4 / 5
Customer Support

4 / 5
Value for Money

Pros: I like how you can filter your tracking by region and verticals which helps with reporting out the numbers on a monthly or quarterly basis.

Cons: I like most of the features although sometimes our tracking gets a little busy with the amount of information that gets put in each code.

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

Apr 19, 2018
5/5
Overall

4 / 5
Ease of Use

4 / 5
Features & Functionality

4 / 5
Customer Support

4 / 5
Value for Money

Pros: Torch 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.

Cons: Although Lua supports Linux, Mac and embedded systems, it needs LuaJIT environment when it runs. This makes Torch less used in industrial production.

Capterra-loader

Another good free alternative for deep learning

Jun 27, 2018
4/5
Overall

3 / 5
Ease of Use

4 / 5
Features & Functionality

3 / 5
Customer Support

5 / 5
Value for Money
Likelihood to Recommend: 1.0/10 Not
Likely
Extremely
Likely

Pros: It 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)

Cons: The 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.