pub struct Neuron<T: Float> { /* private fields */ }Expand description
A neuron gene.
Takes some number of incoming connections and applies the activation function to their sum.
Implementations§
Source§impl<T: Float> Neuron<T>
impl<T: Float> Neuron<T>
Sourcepub fn new(id: NeuronId, num_inputs: usize, weight: T) -> Self
pub fn new(id: NeuronId, num_inputs: usize, weight: T) -> Self
Returns a new Neuron that takes num_inputs inputs and weights its output by weight.
Sourcepub fn num_inputs(&self) -> usize
pub fn num_inputs(&self) -> usize
Returns the number of inputs required by this Neuron.
Sourcepub fn previous_value(&self) -> T
pub fn previous_value(&self) -> T
Returns the output value of this Neuron from the previous Network
evaluation, or zero if either no evaluation has occurred yet or
Network::clear_state was called.
Trait Implementations§
Source§impl<'de, T> Deserialize<'de> for Neuron<T>where
T: Deserialize<'de> + Float,
impl<'de, T> Deserialize<'de> for Neuron<T>where
T: Deserialize<'de> + Float,
Source§fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
Deserialize this value from the given Serde deserializer. Read more
impl<T: Float> StructuralPartialEq for Neuron<T>
Auto Trait Implementations§
impl<T> Freeze for Neuron<T>where
T: Freeze,
impl<T> RefUnwindSafe for Neuron<T>where
T: RefUnwindSafe,
impl<T> Send for Neuron<T>where
T: Send,
impl<T> Sync for Neuron<T>where
T: Sync,
impl<T> Unpin for Neuron<T>where
T: Unpin,
impl<T> UnwindSafe for Neuron<T>where
T: UnwindSafe,
Blanket Implementations§
Source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
Source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more