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For truth we seek infinite and beyond.

Asapanna Rakesh INF800

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INF800 / eda-lets-cook-in-ml.ipynb
Created November 8, 2019 17:27
EDA-Lets-cook-in-ML.ipynb
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INF800 / tensorflow-lets-cook-in-ml.ipynb
Created November 8, 2019 17:31
Tensorflow-Lets-Cook-in-ML.ipynb
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INF800 / io19-demo-1-swift-in-colab.ipynb
Created November 21, 2019 13:15
io19-demo-1-swift-in-colab.ipynb
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INF800 / io19-demo-2-interoperability.ipynb
Created November 21, 2019 13:14
io19-demo-2-interoperability.ipynb
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INF800 / io19-demo-3-differentiable-programming.ipynb
Created November 21, 2019 13:13
io19-demo-3-differentiable-programming.ipynb
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INF800 / multilayerperceptron-s4tf.ipynb
Last active December 6, 2019 17:51
MultiLayerPerceptron-s4tf.ipynb
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INF800 / train-tensorflow-object-detection-api-in-colab.ipynb
Created January 3, 2020 13:55
Train-Tensorflow-Object-Detection-API-in-Colab.ipynb
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INF800 / swift-keras-tflite-mlir.ipynb
Created January 4, 2020 01:21
swift-keras-tflite-mlir.ipynb
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INF800 / Dockerfile
Last active January 12, 2020 17:05
dockerfile
#FROM alpine:latest
#RUN apk add --no-cache --update python3.6
#WORKDIR /app
#COPY . /app
#RUN pip3 install -r requirements.txt
#EXPOSE 4000
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INF800 / file.js
Created January 22, 2020 10:58
Transfer Learning
// modify the pre-trained mobilenet.
// freezes layers to train only the last couple of layers
async function getModifiedMobilenet()
{
// freezes mobilenet layers to make them untrainable
// just keeps final layers trainable with argument trainableLayers
async function freezeModelLayers(trainableLayers,mobilenetModified)
{
for (const layer of mobilenetModified.layers)