layer-oriented-deep-learning-network-js/lib/layer/InputLayer.js

A feed-forward neural network with injectable layers, activation functions, and optimizers.

"use strict";

Object.defineProperty(exports, "__esModule", {
    value: true
});

var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }();

function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } }

var InputLayer = function () {
    function InputLayer(nodeCount) {
        _classCallCheck(this, InputLayer);

        this.nodeCount = nodeCount;
        this.outputs = new Float64Array(nodeCount); //@TODO new array not really used?
    }

    _createClass(InputLayer, [{
        key: "feedForward",
        value: function feedForward(inputs) {
            this.outputs = inputs;
        }
    }]);

    return InputLayer;
}();

exports.default = InputLayer;