pub struct EndLayer<const END_S: usize>();Expand description
The end layer, this terminates the neural network linked list, just accepts the number of neurons in the final layer.
§Type Parameters
END_SNumber of neurons in the end layer.
Trait Implementations§
Source§impl<const END_S: usize> Layer<END_S, END_S> for EndLayer<END_S>
impl<const END_S: usize> Layer<END_S, END_S> for EndLayer<END_S>
Source§fn feed_forward<'a>(
&mut self,
feed: Matrix<END_S, 1>,
_act: &Activation<'a>,
) -> [Float; END_S]
fn feed_forward<'a>( &mut self, feed: Matrix<END_S, 1>, _act: &Activation<'a>, ) -> [Float; END_S]
Feeds forward data and returns (I.E. predicts) an array of data based on it’s current learned state. Read more
fn back_propagate<'a>( &mut self, _l_rate: Float, outputs: [Float; END_S], targets: [Float; END_S], act: &Activation<'a>, ) -> BackProps<END_S>
Auto Trait Implementations§
impl<const END_S: usize> Freeze for EndLayer<END_S>
impl<const END_S: usize> RefUnwindSafe for EndLayer<END_S>
impl<const END_S: usize> Send for EndLayer<END_S>
impl<const END_S: usize> Sync for EndLayer<END_S>
impl<const END_S: usize> Unpin for EndLayer<END_S>
impl<const END_S: usize> UnwindSafe for EndLayer<END_S>
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