@sauber/neurons@1.2.7

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Built and signed on GitHub Actions

All nodes in input layer connected to all nodes in output layer

An exported layer of NeuronData

An exported layer of NormalizerData

Array of rows of input data

Leaky Relu Activation Layer

Calculate mean square error for a batch of actual vs expected outputs

Sequence of layers and function to predict output

Network parameters exported in JSON format

Neuron node with multiple weighted inputs and bias

JSON format of exported neuron parameters

Shift and scale inputs into a distribution centered around 0 with standard deviation 1

Rescale input to mean 0 and standard deviation 1

JSON format of exported normalizer parameters

Array of rows of output data

Relu Activation Layer

Sigmoid Activation Layer

Connect one input to one output

Tanh Activation Layer

Train a neural network

Input or output data type casted to Value objects