layer-oriented-deep-learning-network-js
Version:
A feed-forward neural network with injectable layers, activation functions, and optimizers.
41 lines (33 loc) • 1.44 kB
JavaScript
;
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 slopeBelowZero = 0.01;
var LeakyRelu = function () {
function LeakyRelu() {
_classCallCheck(this, LeakyRelu);
}
_createClass(LeakyRelu, [{
key: "xToY",
value: function xToY(x) {
if (x > 0) {
return x;
} else {
return slopeBelowZero * x;
}
}
}, {
key: "yToSlope",
value: function yToSlope(y) {
if (y > 0) {
return 1;
} else {
return slopeBelowZero;
}
}
}]);
return LeakyRelu;
}();
exports.default = LeakyRelu;