nnet
nnet is a specialized software designed for constructing feed-forward neural networks with a single hidden layer, as well as multinomial log-linear models. It offers a user-friendly interface for model training and evaluation, making it an essential tool for data scientists and statisticians. More information is available at [CRAN.R-project.org/package=nnet](https://CRAN.R-project.org/package=nnet).
Top nnet Alternatives
RSNNS
The RSNNS package provides access to the Stuttgart Neural Network Simulator’s robust functionalities within R, featuring both a low-level interface for advanced algorithmic control and a user-friendly high-level interface for common neural network structures and learning algorithms.
HTK
HTK is a powerful deep learning software that provides an extensive suite of tools for speech analysis, HMM training, and results evaluation.
HNN
HNN is a Haskell-based library designed for creating, training, and utilizing feed-forward neural networks.
Lasagne
Lasagne is a nimble library designed for constructing and training neural networks within Theano.
GraphicsMagick
GraphicsMagick offers a robust suite of tools for image processing, emphasizing security and community involvement.
LambdaNet
This artificial neural network library, implemented in Haskell, enables users to create, train, and utilize neural networks through higher-order functions.
NanoNets
Its no-code platform automates complex workflows, fostering quicker, informed decisions...
RustNN
It enables the construction of fully connected multi-layer architectures, trained through backpropagation...
Speech Recognition API
leverages deep learning technology to deliver precise automated voice recognition and text-to-speech capabilities...
deeplearn-rs
It features various implemented layers and optimizers, encouraging user feedback to shape its evolving API...
Darknet
It excels in both CPU and GPU computations, with GPU performance being significantly faster...
BackpropNeuralNet.jl
Users can effortlessly initialize networks with various configurations, such as 2 inputs, 3 neurons in...
Chainer
It supports diverse architectures such as feed-forward, convolutional, and recurrent networks...
MGL
It enables developers to implement and experiment with advanced algorithms while benefiting from the expressive...
Dlib Image Processing
It utilizes array2d objects for pixel representation, supporting BGR and RGB formats...
