Annex

v0.1.0

Annex v0.1.0 Annex.Layer.Neuron View Source

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Types

t()

Functions

backprop(neuron, total_loss_pd, neuron_loss_pd, learning_rate, activation_deriv)
feedforward(neuron, inputs)
get_bias(neuron)
get_inputs(neuron)
get_output(neuron)
get_sum(neuron)
get_weights(neuron)
new(weights, bias)
new_random(size)

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t() View Source 
t() :: %Annex.Layer.Neuron{
  bias: float(),
  inputs: [float()],
  output: float(),
  sum: float(),
  weights: [float()]
}

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backprop(neuron, total_loss_pd, neuron_loss_pd, learning_rate, activation_deriv) View Source 
backprop(t(), float(), float(), float(), (float() -> float())) ::
  {[float()], t()}

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feedforward(neuron, inputs) View Source

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get_bias(neuron) View Source

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get_inputs(neuron) View Source

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get_output(neuron) View Source

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get_sum(neuron) View Source

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get_weights(neuron) View Source

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new(weights, bias) View Source

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new_random(size) View Source