# candle-mnist-training

Training a 2 layer MLP on mnist in Candle.

## Running an example

```bash
$ cargo run --example mnist-training --features candle-datasets

> train-images: [60000, 784]
> train-labels: [60000]
> test-images: [10000, 784]
> test-labels: [10000]
>    1 train loss:  2.30265 test acc: 68.08%
>    2 train loss:  1.50815 test acc: 60.77%
```