开源软件名称：infers
开源软件地址：https://gitee.com/hans_s/infers
开源软件介绍：
infersMachine learning and Matrix operation library by TypeScript. 
InstalledMake sure NPM is installed, Switch to the project directory then execute the following command. $ npm install infers@latest Reference in project: import { Matrix, BPNet } from 'infers'ExamplesMatrix transpose: let m = new Matrix([ [1, 5, 0], [2, 4 , -1], [0, -2, 0]])m.T.print()// Matrix 3x3 [// 1, 2, 0, // 5, 4, -2, // 0, -1, 0, // ] BP neural network example of XOR, three-layer network: let xs = new Matrix([[1, 0], [0, 1], [0, 0], [1, 1]])let ys = new Matrix([[1], [1], [0], [0]])let model = new BPNet([2, [6, 'Tanh'], [1, 'Sigmoid']], { rate: 0.1 })model.fit(xs, ys, { epochs: 5000, onEpoch: (epoch, loss) => { if (epoch % 100 === 0) console.log('epoch:' + epoch, 'loss:', loss) }})model.predict(xs).print()// Matrix 4x1 [// 0.9862025352830867, // 0.986128496195502, // 0.01443800549676924, // 0.014425871504885788, // ]BP neural network example of addition, four-layer network: let xs = new Matrix([[1, 4], [3, 2], [6, 5], [4, 7]])let ys = new Matrix([[5], [5], [11], [11]])let model = new BPNet([2, 6, 6, 1], { mode: 'bgd', rate: 0.01 })model.fit(xs, ys, { epochs: 500, onEpoch: (epoch, loss) => { console.log('epoch:' + epoch, 'loss:', loss) }})let xs2 = new Matrix([[5, 8], [22, 6], [-5, 9], [-5, -4]])model.predict(xs2).print()// Matrix 4x1 [// 12.994745740521667, // 27.99134620596921, // 3.9987224114576856, // -9.000000644547901,// ]RNN: Recurrent neural network example: let trainData = ['hello rnn', 'good morning', 'I love |
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