node-fann is not the only option for Artificial Neural Network Software. Explore other competing options and alternatives. Other important factors to consider when researching alternatives to node-fann include performance. The best overall node-fann alternative is Keras. Other similar apps like node-fann are AIToolbox, H2O, Microsoft Cognitive Toolkit (Formerly CNTK), and NVIDIA Deep Learning GPU Training System (DIGITS). node-fann alternatives can be found in Artificial Neural Network Software but may also be in Machine Learning Software or Data Science and Machine Learning Platforms.
Keras is a neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
AIToolbox is a toolbox of AI modules written in Swift: Graphs/Trees, Linear Regression, Support Vector Machines, Neural Networks, PCA, KMeans, Genetic Algorithms, MDP, Mixture of Gaussians, Logistic Regression
H2O is a tool that makes it possible for anyone to easily apply machine learning and predictive analytics to solve today's most challenging business problems, it combine the power of highly advanced algorithms, the freedom of open source, and the capacity of truly scalable in-memory processing for big data on one or many nodes.
NVIDIA Deep Learning GPU Training System (DIGITS) deep learning for data science and research to quickly design deep neural network (DNN) for image classification and object detection tasks using real-time network behavior visualization.
Choose Your Path: Install PyTorch Locally or Launch Instantly on Supported Cloud Platforms
Preconfigured and optimized containers for deep learning environments.
TFlearn is a modular and transparent deep learning library built on top of Tensorflow that provide a higher-level API to TensorFlow in order to facilitate and speed-up experimentations, while remaining fully transparent and compatible with it.
Caffe is a deep learning framework made with expression, speed, and modularity in mind.
gobrain is a neural networks written in go that includes just basic Neural Network functions such as Feed Forward and Elman Recurrent Neural Network.