我是大脑js的新手,我正在尝试使其预测单词组合是否是完整的句子。 https://codepen.io/AtanasBobev/pen/zQzZrP?editors=0010
const config = {
hiddenLayers: [3]
};
const net = new brain.NeuralNetwork(config);
net.train([{input: ["Hello, I'm John Walker."], output: [1]},
{input: ["This is on you!"], output: [1]},
{input: ["Who are you?"], output: [1]},
{input: ["Let's go."], output: [1]},
{input: ["John kik"], output: [0]},
{input: ["This is"], output: [0]}
]);
const output = net.run(["I'm Stil."]);
alert(output);
//Output: NaN
我知道数据不足以进行良好的预测,但我仍然希望数值在0-1之间。 问题是什么?
答案 0 :(得分:1)
这可以通过Brain的LSTM
函数来完成。这是在您的数据集上进行的工作(还有其他一些要训练的示例):
const net = new brain.recurrent.LSTM();
net.train([
{ input: "Hello, I'm John Walker.", output: "complete" },
{ input: "This is on you!", output: "complete" },
{ input: "John kik", output: "incomplete" },
{ input: "This is", output: "incomplete" },
{ input: "Great job.", output: "complete" },
{ input: "When I hear a", output: "incomplete" }
]);
输出:
> net.run("I'm Stil.");
"incomplete"
> net.run("Great job!")
"complete"