[−][src]Struct neuralnetwork::neuralnetwork::NeuralNetwork
Fields
input_nodes: usize
output_nodes: usize
Implementations
impl NeuralNetwork
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pub fn new(
input_nodes: usize,
hidden_nodes: Vec<usize>,
output_nodes: usize,
learning_rate: f32,
activation_function_name: &str
) -> NeuralNetwork
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input_nodes: usize,
hidden_nodes: Vec<usize>,
output_nodes: usize,
learning_rate: f32,
activation_function_name: &str
) -> NeuralNetwork
pub fn train(&mut self, input: &Matrix, expected_output: &Matrix)
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pub fn predict(&self, input: &Matrix) -> Matrix
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pub fn save_model(&self, filename: &str)
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pub fn load_model(filename: &str) -> NeuralNetwork
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Auto Trait Implementations
impl RefUnwindSafe for NeuralNetwork
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impl Send for NeuralNetwork
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impl Sync for NeuralNetwork
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impl Unpin for NeuralNetwork
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impl UnwindSafe for NeuralNetwork
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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>,