Struct Network

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pub struct Network<'a> {
    pub layers: Vec<Layer<'a>>,
    pub shape: &'a [(&'a ActivationFunction, usize)],
    pub cost_function: &'a CostFunction,
    /* private fields */
}

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§layers: Vec<Layer<'a>>§shape: &'a [(&'a ActivationFunction, usize)]§cost_function: &'a CostFunction

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impl Network<'_>

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pub fn new<'a>( shape: &'a [(&ActivationFunction, usize)], optimizer: &'a mut dyn Optimizer, cost_function: &'a CostFunction, ) -> Network<'a>

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pub fn predict(&self, input: &Array2<f64>) -> Array2<f64>

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pub fn backprop( &self, X: &Array2<f64>, y: &Array2<f64>, ) -> (Vec<Array2<f64>>, Vec<Array2<f64>>)

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pub fn train_minibatch(&mut self, (X, y): &(Array2<f64>, Array2<f64>))

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pub fn train_and_log( &mut self, data: &Dataset<'_>, batch_size: usize, verification_samples: usize, epochs: i32, ) -> Vec<(i32, f64)>

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pub fn eval(&self, data: &Dataset<'_>, sample_size: usize) -> f64

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pub fn predict_unit_square( &self, resolution: usize, ) -> ((usize, usize), Vec<Vec<f64>>)

Trait Implementations§

Auto Trait Implementations§

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impl<'a> Freeze for Network<'a>

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impl<'a> !RefUnwindSafe for Network<'a>

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impl<'a> !Send for Network<'a>

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impl<'a> !Sync for Network<'a>

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impl<'a> Unpin for Network<'a>

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impl<'a> !UnwindSafe for Network<'a>

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

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Converts self into a Left variant of Either<Self, Self> if into_left is true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more
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type Error = <U as TryFrom<T>>::Error

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