Struct cosyne::ANN[][src]

pub struct ANN { /* fields omitted */ }

Artificial Neural Network

Implementations

impl ANN[src]

pub fn new(num_inputs: usize, num_outputs: usize, act_func: Activation) -> ANN[src]

Create a new artificial neural network with a given number of inputs and outputs and an activation function

pub fn add_layer(&mut self, neuron_count: usize, act: Activation)[src]

Add a new hidden layer with a given neuron count and activation function. This modifies the previous and following layer to match io in each layer

pub fn forward(&mut self, inputs: Vec<f64>) -> Vec<f64>[src]

forward the inputs through the network Returns an output of length self.num_outputs

pub fn num_genes(&self) -> usize[src]

Return the number of genes in the network

pub fn genes(&self) -> Vec<f64>[src]

returns the genes representing the network

Trait Implementations

impl Clone for ANN[src]

impl Debug for ANN[src]

Auto Trait Implementations

impl RefUnwindSafe for ANN

impl Send for ANN

impl Sync for ANN

impl Unpin for ANN

impl UnwindSafe for ANN

Blanket Implementations

impl<T> Any for T where
    T: 'static + ?Sized
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impl<T> Borrow<T> for T where
    T: ?Sized
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impl<T> BorrowMut<T> for T where
    T: ?Sized
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impl<T> From<T> for T[src]

impl<T, U> Into<U> for T where
    U: From<T>, 
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impl<T> ToOwned for T where
    T: Clone
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type Owned = T

The resulting type after obtaining ownership.

impl<T, U> TryFrom<U> for T where
    U: Into<T>, 
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type Error = Infallible

The type returned in the event of a conversion error.

impl<T, U> TryInto<U> for T where
    U: TryFrom<T>, 
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type Error = <U as TryFrom<T>>::Error

The type returned in the event of a conversion error.

impl<V, T> VZip<V> for T where
    V: MultiLane<T>,