meuron 0.4.0

Meuron is a modular neural network library written in rust for training simple neural networks.
Documentation 
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use crate::NeuralNetwork;
use crate::backend::Backend;
use crate::cost::Cost;
use crate::layer::Layer;
use serde::{Deserialize, Serialize};
use std::fs::File;
use std::io::{Read, Write};
use std::marker::PhantomData;
use std::path::Path;

#[derive(Serialize, Deserialize)]
struct NetworkData<L> {
    layers: L,
}

impl<L, C, B> NeuralNetwork<L, C, B>
where
    B: Backend,
    L: Layer<B> + Serialize + for<'de> Deserialize<'de>,
    C: Cost<B>,
{
    pub fn save<P: AsRef<Path>>(&self, path: P) -> std::io::Result<()> {
        let encoded = postcard::to_allocvec(&NetworkData {
            layers: &self.layers,
        })
        .map_err(|e| std::io::Error::other(e.to_string()))?;

        let mut file = File::create(path)?;
        file.write_all(&encoded)?;
        Ok(())
    }

    pub fn load<P: AsRef<Path>>(path: P, cost: C) -> std::io::Result<Self> {
        let mut file = File::open(path)?;
        let mut buffer = Vec::new();
        file.read_to_end(&mut buffer)?;

        let data: NetworkData<L> =
            postcard::from_bytes(&buffer).map_err(|e| std::io::Error::other(e.to_string()))?;

        Ok(Self {
            layers: data.layers,
            cost,
            _backend: PhantomData,
        })
    }
}