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? ? ????? JS ???? React.js? AI ?? ????? ??? ??? ???? ????

React.js? AI ?? ????? ??? ??? ???? ????

Jan 05, 2025 am 04:59 AM

How React.js is Adapting to AI-Powered Frontend Development

????(AI)? ???? ?? ????? ?? ??? ??? ??? ?? ????. ??? ????? ??? ?? ?? ?? ?? JavaScript ????? ? ??? React.js? ? ??? ??? ???? ? ???? ????. ? ?????? React.js? ???? ?? ???? AI ?? ??????? ???? ??? ??? ???? ???? ???? ?? ??? ?????.

????? ??? AI? ??? ??

????? ? ?? ??? ?????? ???? ????. ??? ?? ??? ??? ???? ?????? ??? ???? ????.

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  • ???: ?????? ?? ????? ????? ????.

??? ? ??? ??? ?? React.js? AI? ?????? ???? ?? ???? ?????.

AI ??? ???? React ??? ??

1. TensorFlow.js: React?? ???? ?? ??

TensorFlow.js? ???? ?????? ???? ??? ?? ??? ? ????. ?? ??? ??? ???? ??? ?? ?? React? ???? ??? ??? ????.

?: TensorFlow.js? ??? ??? ??

import React, { useState } from "react";
import * as tf from "@tensorflow/tfjs";
import * as mobilenet from "@tensorflow-models/mobilenet";

const ImageClassifier = () => {
  const [image, setImage] = useState(null);
  const [result, setResult] = useState("");

  const handleImageUpload = (e) => {
    const file = e.target.files[0];
    const reader = new FileReader();
    reader.onload = () => setImage(reader.result);
    reader.readAsDataURL(file);
  };

  const classifyImage = async () => {
    const img = document.getElementById("uploadedImage");
    const model = await mobilenet.load();
    const predictions = await model.classify(img);
    setResult(predictions[0].className);
  };

  return (
    <div>
      <input type="file" accept="image/*" onChange={handleImageUpload} />
      {image && <img>



<p><strong>2. Brain.js: Simplified Neural Network Implementation</strong><br>
Brain.js makes it easy to build neural networks for predictions.</p>

<p><strong>Example: Predicting user behavior in a React app.</strong><br>
</p>

<pre class="brush:php;toolbar:false">import React, { useState } from "react";
import { NeuralNetwork } from "brain.js";

const BrainExample = () => {
  const [output, setOutput] = useState("");

  const net = new NeuralNetwork();
  net.train([
    { input: { click: 0, scroll: 1 }, output: { stay: 1 } },
    { input: { click: 1, scroll: 0 }, output: { leave: 1 } },
  ]);

  const predict = () => {
    const result = net.run({ click: 1, scroll: 0 });
    setOutput(result.stay > result.leave ? "User will stay" : "User will leave");
  };

  return (
    <div>
      <button onClick={predict}>Predict User Behavior</button>
      {output && <p>{output}</p>}
    </div>
  );
};

export default BrainExample;

3. React-Three-Fiber: AI ?? ??? ??? ?? 3D ???

React-Three-Fiber? React?? 3D ??? ??? ????? AI ???? ??????.

?: 3D ??? ???

import React from "react";
import { Canvas } from "@react-three/fiber";
import { Sphere } from "@react-three/drei";

const GraphVisualization = () => {
  return (
    <Canvas>
      <ambientLight />
      <pointLight position={[10, 10, 10]} />
      <Sphere args={[1, 32, 32]} position={[0, 0, 0]}>
        <meshStandardMaterial color="blue" />
      </Sphere>
    </Canvas>
  );
};

export default GraphVisualization;

AI ?? React ??? ??

  • ?? ????: ?????? AI ??? ???? ???? ??? ?? ? ????.
  • ??? ???? ??: ??? ??? ???? ???? ?????.
  • ?? ??: AI ?????? React ???? ??

React.js? AI? ??? ???? ??????? ??? ???? ????? ???? ??? ??? ?? ?????. ???? TensorFlow.js, Brain.js, React-Three-Fiber? ?? ??? ???? ?? ???? AI ?? ????? ??????? ??? ? ????.

????:

  • TensorFlow.js ?? ??
  • Brain.js ?? ??
  • React-Three-Fiber ?? ??

? ???? ??? ???? ?? ??? ??? ?? ????? React.js, AI ? ????? ??? ?? ? ?? ?? ??? ?????! ?? ??? ?? ???? ???? ??? ???? ?????.

? ??? React.js? AI ?? ????? ??? ??? ???? ????? ?? ?????. ??? ??? PHP ??? ????? ?? ?? ??? ?????!

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