Struct neural_network_rs::neural_network::optimizer::adam_optimizer::ADAM

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pub struct ADAM { /* private fields */ }

Implementations

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impl ADAM

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pub fn new(
    learning_rate: f64,
    decay: f64,
    epsilon: f64,
    beta_1: f64,
    beta_2: f64
) -> ADAM

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pub fn default() -> ADAM

Trait Implementations

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impl Optimizer for ADAM

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fn update_params(
 &mut self,
 layers: &mut Vec<Layer<'_>>,
 nabla_bs: &Vec<Array2<f64>>,
 nabla_ws: &Vec<Array2<f64>>
)

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fn summerize(&self) -> String

Auto Trait Implementations

impl RefUnwindSafe for ADAM

impl Send for ADAM

impl Sync for ADAM

impl Unpin for ADAM

impl UnwindSafe for ADAM

Blanket Implementations

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impl<T> Any for Twhere
T: 'static + ?Sized,

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fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more

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impl<T> Borrow<T> for Twhere
T: ?Sized,

const: unstable · source

fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more

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impl<T> BorrowMut<T> for Twhere
T: ?Sized,

const: unstable · source

fn borrow_mut(&mut self) -> &mut T

Mutably borrows from an owned value. Read more

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impl<T> From<T> for T

const: unstable · source

fn from(t: T) -> T

Returns the argument unchanged.

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impl<T, U> Into for Twhere
U: From<T>,

const: unstable · source

fn into(self) -> U

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

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impl<T, U> TryFrom for Twhere
U: Into<T>,

type Error = Infallible

The type returned in the event of a conversion error.

const: unstable · source

fn try_from(value: U) -> Result<T, <T as TryFrom>::Error>

Performs the conversion.

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impl<T, U> TryInto for Twhere
U: TryFrom<T>,

type Error = >::Error

The type returned in the event of a conversion error.

const: unstable · source

fn try_into(self) -> Result<U, >::Error>

Performs the conversion.

Struct neural_network_rs::neural_network::optimizer::adam_optimizer::ADAM

Implementations

impl ADAM

pub fn new(
    learning_rate: f64,
    decay: f64,
    epsilon: f64,
    beta_1: f64,
    beta_2: f64
) -> ADAM

pub fn default() -> ADAM

Trait Implementations

impl Optimizer for ADAM

fn update_params(
    &mut self,
    layers: &mut Vec<Layer<'_>>,
    nabla_bs: &Vec<Array2<f64>>,
    nabla_ws: &Vec<Array2<f64>>
)

fn initialize(&mut self, layers: &Vec<Layer<'_>>)

fn pre_update(&mut self)

fn post_update(&mut self)

impl Summary for ADAM

fn summerize(&self) -> String

Auto Trait Implementations

impl RefUnwindSafe for ADAM

impl Send for ADAM

impl Sync for ADAM

impl Unpin for ADAM

impl UnwindSafe for ADAM

Blanket Implementations

impl<T> Any for Twhere
T: 'static + ?Sized,

fn type_id(&self) -> TypeId

impl<T> Borrow<T> for Twhere
T: ?Sized,

fn borrow(&self) -> &T

impl<T> BorrowMut<T> for Twhere
T: ?Sized,

fn borrow_mut(&mut self) -> &mut T

impl<T> From<T> for T

fn from(t: T) -> T

impl<T, U> Into<U> for Twhere
U: From<T>,

fn into(self) -> U

impl<T, U> TryFrom<U> for Twhere
U: Into<T>,

type Error = Infallible

fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>

impl<T, U> TryInto<U> for Twhere
U: TryFrom<T>,

type Error = <U as TryFrom<T>>::Error

fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>

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

fn vzip(self) -> V

Struct neural_network_rs::neural_network::optimizer::adam_optimizer::ADAM

Implementations

impl ADAM

pub fn new( learning_rate: f64, decay: f64, epsilon: f64, beta_1: f64, beta_2: f64) -> ADAM

pub fn default() -> ADAM

Trait Implementations

impl Optimizer for ADAM

fn update_params( &mut self, layers: &mut Vec<Layer<'_>>, nabla_bs: &Vec<Array2<f64>>, nabla_ws: &Vec<Array2<f64>>)

fn initialize(&mut self, layers: &Vec<Layer<'_>>)

fn pre_update(&mut self)

fn post_update(&mut self)

impl Summary for ADAM

fn summerize(&self) -> String

Auto Trait Implementations

impl RefUnwindSafe for ADAM

impl Send for ADAM

impl Sync for ADAM

impl Unpin for ADAM

impl UnwindSafe for ADAM

Blanket Implementations

impl<T> Any for Twhere T: 'static + ?Sized,

fn type_id(&self) -> TypeId

impl<T> Borrow<T> for Twhere T: ?Sized,

fn borrow(&self) -> &T

impl<T> BorrowMut<T> for Twhere T: ?Sized,

fn borrow_mut(&mut self) -> &mut T

impl<T> From<T> for T

fn from(t: T) -> T

impl<T, U> Into<U> for Twhere U: From<T>,

fn into(self) -> U

impl<T, U> TryFrom<U> for Twhere U: Into<T>,

type Error = Infallible

fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>

impl<T, U> TryInto<U> for Twhere U: TryFrom<T>,

type Error = <U as TryFrom<T>>::Error

fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>

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

fn vzip(self) -> V

pub fn new(
learning_rate: f64,
decay: f64,
epsilon: f64,
beta_1: f64,
beta_2: f64
) -> ADAM

fn update_params(
&mut self,
layers: &mut Vec<Layer<'_>>,
nabla_bs: &Vec<Array2<f64>>,
nabla_ws: &Vec<Array2<f64>>
)

impl<T> Any for Twhere
T: 'static + ?Sized,

impl<T> Borrow<T> for Twhere
T: ?Sized,

impl<T> BorrowMut<T> for Twhere
T: ?Sized,

impl<T, U> Into<U> for Twhere
U: From<T>,

impl<T, U> TryFrom<U> for Twhere
U: Into<T>,

impl<T, U> TryInto<U> for Twhere
U: TryFrom<T>,

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