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Synaptic is a javascript neural network library for node.js and the browser, its generalized algorithm is architecture-free, so you can build and train basically any type of first order or even second order neural network architectures. This library includes a few built-in architectures like multilayer perceptrons, multilayer long-short term memory networks (LSTM), liquid state machines or Hopfield networks, and a trainer capable of training any given network, which includes built-in training tasks/tests like solving an XOR, completing a Distracted Sequence Recall task or an Embedded Reber Grammar test, so you can easily test and compare the performance of different architectures. If you have no prior knowledge about Neural Networks, you should start by reading the provided guide.
Features
- Test your new network by creating a trainer and teaching the perceptron to learn an XOR
- Create a simple long short-term memory network with input gate, forget gate, output gate, and peephole connections
- Synaptic is an Open Source project that started in Buenos Aires, Argentina
- Neurons are the basic unit of the neural network
- Networks can be imported/exported to JSON
- Trainers can take any given network regardless of its architecture and use any training set
Project Samples
