Struct corgi::optimizers::gd::GradientDescent [−][src]
A gradient descent optimizer, which stores the parameters it updates, and the learning rate.
Implementations
impl GradientDescent
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pub fn new(learning_rate: Float) -> GradientDescent
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Creates a new gradient descent optimizer, which updates based on the learning rate.
Trait Implementations
Auto Trait Implementations
impl RefUnwindSafe for GradientDescent
impl Send for GradientDescent
impl Sync for GradientDescent
impl Unpin for GradientDescent
impl UnwindSafe for GradientDescent
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,
pub fn borrow_mut(&mut self) -> &mut T
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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.
pub 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>,