[−][src]Enum cogent::Cost
Defines cost function of a neural network.
Variants
Quadratic cost function.
$ C(w,b)=\frac{1}{2n}\sum_{x} ||y(x)-a(x) ||^2 $
Crossentropy cost function.
$ C(w,b) = -\frac{1}{n} \sum_{x} (y(x) \ln{(a(x))} + (1-y(x)) \ln{(1-a(x))}) $
Implementations
impl Cost
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pub fn run(&self, y: &Array<f32>, a: &Array<f32>) -> f32
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Runs cost functions.
y: Target out, a: Actual out.
pub fn derivative(&self, y: &Array<f32>, a: &Array<f32>) -> Array<f32>
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Derivative w.r.t. layer output (∂C/∂a).
y: Target out, a: Actual out.
Trait Implementations
impl<'de> Deserialize<'de> for Cost
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fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
__D: Deserializer<'de>,
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__D: Deserializer<'de>,
impl Serialize for Cost
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Auto Trait Implementations
impl RefUnwindSafe for Cost
impl Send for Cost
impl Sync for Cost
impl Unpin for Cost
impl UnwindSafe for Cost
Blanket Implementations
impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,
impl<T> Borrow<T> for T where
T: ?Sized,
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T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
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T: ?Sized,
fn borrow_mut(&mut self) -> &mut T
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impl<T> DeserializeOwned for T where
T: for<'de> Deserialize<'de>,
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T: for<'de> Deserialize<'de>,
impl<T> From<T> for T
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impl<T, U> Into<U> for T where
U: From<T>,
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U: From<T>,
impl<T, U> TryFrom<U> for T where
U: Into<T>,
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U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
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impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
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U: TryFrom<T>,
type Error = <U as TryFrom<T>>::Error
The type returned in the event of a conversion error.
fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>
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impl<V, T> VZip<V> for T where
V: MultiLane<T>,
V: MultiLane<T>,