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update mnist-core, sentiment and, date-conversion-attention to tfjs 3.0 (#385)
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Diff for: ‎date-conversion-attention/package.json

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"watch": "cross-env NODE_ENV=development parcel index.html --no-hmr --open"
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},
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"dependencies": {
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"babel-core": "^6.26.3",

Diff for: ‎date-conversion-attention/yarn.lock

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adm-zip "^0.4.11"
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google-protobuf "^3.9.2"
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rimraf "^2.6.2"
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tar "^4.4.6"
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vega-lite "4.13.1"
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Diff for: ‎mnist-core/README.md

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# TensorFlow.js Example: MNIST using tfjs-core
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This example shows you how to train MNIST only using the [TensorFlow.js core]
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(https://github.com/tensorflow/tfjs-core) library (not using the layers API).
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(https://github.com/tensorflow/tfjs-core) API (not using the layers API).
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Note: currently the entire dataset of MNIST images is stored in a PNG image we have
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sprited, and the code in `data.js` is responsible for converting it into
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`Tensor`s. This will become much simpler in the near future.
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`Tensor`s.
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[See this example live!](https://storage.googleapis.com/tfjs-examples/mnist-core/dist/index.html)

Diff for: ‎mnist-core/package.json

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"node": ">=8.9.0"
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},
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"dependencies": {
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"@tensorflow/tfjs": "2.0.0",
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"@tensorflow/tfjs": "3.0.0",
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"@tensorflow/tfjs-vis": "^1.0.3"
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},
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"scripts": {

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