# TensorFlowJs

**Repository Path**: wdd667/TensorFlowJs

## Basic Information

- **Project Name**: TensorFlowJs
- **Description**: 谷歌开源TensorFlow.js demo尝试
- **Primary Language**: JavaScript
- **License**: AFL-3.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 1
- **Forks**: 0
- **Created**: 2019-12-19
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# TensorFlowJs

#### 介绍
谷歌开源TensorFlow.js demo尝试

#### 软件架构
软件架构说明


#### 安装教程

1.  <script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@0.9.0"> </script>
2.  yarn add @tensorflow/tfjs   npm install @tensorflow/tfjs
3.  import * as tf from '@tensorflow/tfjs';

#### 使用说明
```
  // Define a model for linear regression.
  const model = tf.sequential();
  model.add(tf.layers.dense({units: 1, inputShape: [1]}));

  // Prepare the model for training: Specify the loss and the optimizer.
  model.compile({loss: 'meanSquaredError', optimizer: 'sgd'});

  // Generate some synthetic data for training.
  const xs = tf.tensor2d([1, 2, 3, 4], [4, 1]);
  const ys = tf.tensor2d([1, 3, 5, 7], [4, 1]);

  // Train the model using the data.
  model.fit(xs, ys).then(() => {
    // Use the model to do inference on a data point the model hasn't seen before:
    model.predict(tf.tensor2d([5], [1, 1])).print();
  });
```