Struct neural_lib::Layer

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pub struct Layer { /* private fields */ }
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Main Struct to make a Layer of neural network It contains few Neuron struct and the activation function for them

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impl Layer

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pub fn new(fnact: &Activate, param: &Vec<(f64, f64)>) -> Self

Add layer, need to a vec of Neurons parameters(tuple f64,f46) and type of function

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pub fn default(x: u32, fnact: &Activate) -> Self

Add layer, need to define number of neurons and type of function

Auto Trait Implementations§

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impl RefUnwindSafe for Layer

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impl Send for Layer

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impl Sync for Layer

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impl Unpin for Layer

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impl UnwindSafe for Layer

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impl<T> Any for T
where 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 T
where T: ?Sized,

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fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more
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impl<T> BorrowMut<T> for T
where T: ?Sized,

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

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impl<T> From<T> for T

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fn from(t: T) -> T

Returns the argument unchanged.

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

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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<U> for T
where U: Into<T>,

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type Error = Infallible

The type returned in the event of a conversion error.
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fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>

Performs the conversion.
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impl<T, U> TryInto<U> for T
where U: TryFrom<T>,

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

The type returned in the event of a conversion error.
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fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>

Performs the conversion.