yuzai / mnist-demo

神经网络实现minist字体识别

解决问题

mnist手写字体识别

运行方法

1. yarn
2. npm run watch

more

1. 不要吐槽代码风格，一切都是以能运行为标准
2. 代码参考tensorflow.js示例修改而来
3. 有问题随便问哈@maxiaobo

演示地址

打包没有经过优化，完全参照parcel默认配置来的，js包可能较大，同时静态文件是直接丢在github上的，速度会比较慢，不要介意

http://blog.maxiaobo.com.cn/mnist-demo/dist/

TensorFlow.js Example: Training MNIST

This example shows you how to train MNIST (using the layers API).

You can check out the tutorial that accompanies this example here.

This model will compute accuracy over 1000 random test set examples every 5 steps, plotting loss and accuracy as the model is training. Training time can be reduced by computing accuracy over fewer examples less often.

Note: currently the entire dataset of MNIST images is stored in a PNG image we have sprited, and the code in data.js is responsible for converting it into Tensors. This will become much simpler in the near future.

See this example live!