NerOne VS SNN

Compare NerOne vs SNN and see what are their differences.

NerOne

Low level C++ neural network engine. The engine provides a huge flexibility in creating neural networks. It also gives an ability for performance optimisations. (by Immortale-dev)

SNN

Neural network frame work for C++, error back probagation algorithm (by ft-290008buchok)
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NerOne SNN
1 1
9 0
- -
7.6 10.0
4 months ago about 1 year ago
C++ C++
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

NerOne

Posts with mentions or reviews of NerOne. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-19.

SNN

Posts with mentions or reviews of SNN. We have used some of these posts to build our list of alternatives and similar projects.
  • SNN (Simple Neural Network)
    1 project | dev.to | 31 Jan 2023
    This neural network has 4 layers 5 x 50 x 500 x 2500 - size of output layer, hidden layers and input layer respectively, learning rate = 1, the initial weights of the neural network are generated in the range (-1; 1) and 8 epochs will be passed during training, and sigmoid looks like f(s) = (1 + e^(-0.4 * s))^(-1). For more information see SNN.

What are some alternatives?

When comparing NerOne and SNN you can also consider the following projects:

Seayon - Open source Neural Network library in C++

SENG475-Neural-Network-Project - A C++ implementation of a classification neural network made for the final project of SENG 475 at UVic.

DarkMark - Marking up images for use with Darknet.

flashlight - A C++ standalone library for machine learning [Moved to: https://github.com/flashlight/flashlight]

cpp_nn_in_a_weekend - Article and source code reference to construct a C++ neural network in a weekend without any dependencies

serving - A flexible, high-performance serving system for machine learning models