This demo is a simple neural network that recognizes handwritten letters.
- The site and the neural network is written in pure js, so the program produces a prediction quite quickly
+ The site and the neural network is written in pure js, so the program produces a prediction quite fast
diff --git a/src/favicon.png b/src/favicon.png
index d93f739..43ac978 100644
Binary files a/src/favicon.png and b/src/favicon.png differ
diff --git a/src/index.js b/src/index.js
index 55b2a06..687d148 100644
--- a/src/index.js
+++ b/src/index.js
@@ -137,7 +137,6 @@ ctx.fillText('Loading the model', CANVAS_SIZE / 2, CANVAS_SIZE / 2);
// Set the line color for the canvas.
ctx.strokeStyle = '#212121';
-
function argsort(arr) {
let result = [...Array(arr.length).keys()];
result.sort((lhs, rhs) => arr[rhs] - arr[lhs]);
@@ -226,7 +225,6 @@ function bodyMouseOut(event) {
}
}
-
canvas.addEventListener('mousedown', canvasMouseDown);
canvas.addEventListener('mousemove', canvasMouseMove);
document.body.addEventListener('mouseup', bodyMouseUp);