McGill AI Society Workshop 2 ― How to deploy your machine learning model
This was the second in a series of workshops hosted by the McGill AI Society in Fall 2019. Slides and Colab notebooks can be found here. Alternatively, the slides and notebook files can be found in the repository.
├── docs # TensorFlow.js demo Website root directory
│ ├── index.html
│ ├── main.css
│ ├── main.js
│ └── models # TensorFlow.js models folder
│ ├── mnist_classifier
│ │ ├── group1-shard1of1.bin
│ │ └── model.json
│ ├── mnist_decoder
│ │ ├── group1-shard1of1.bin
│ │ └── model.json
│ └── mnist_encoder
│ ├── group1-shard1of1.bin
│ └── model.json
├── notebooks # Model creation and export notebooks
│ ├── MNIST_Autoencoder.ipynb
│ ├── MNIST_Autoencoder SOLUTIONS.ipynb
│ ├── MNIST_Classifier.ipynb
│ └── MNIST_Classifier SOLUTIONS.ipynb
├── README.md
└── Workshop 2 - Model Deployment.pdf