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iOS image classification app using Core ML and MobileNet
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# Core ML Mini-Course
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Resources for Udacity's Core ML mini-course. This repository contains the iOS image classification app (SmartGroceryList) in various formats including its integration with and without Vision framework. A custom Core ML model is also included.
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## Convert-food101-model
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Converting the Food 101 custom machine learning model to .mlmodel format utilizes several Python tools that have been packaged into a Docker image. To run the docker image:
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1.`cd Convert-food101-model`
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2.`docker build -t convert-coreml .`
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3.`docker run --rm -it -p 8888:8888 -v "$(pwd)/notebook:/workspace/notebook" convert-coreml`
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```bash
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$ cd Convert-food101-model
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$ docker build -t convert-coreml .`
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$ docker run --rm -it -p 8888:8888 -v "$(pwd)/notebook:/workspace/notebook" convert-coreml`
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```
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If you don't have Docker installed, you can find instructions on installing [here](https://docs.docker.com/docker-for-mac/install/)
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If you don't have Docker installed, you can find instructions on installing [here](https://docs.docker.com/docker-for-mac/install/).
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