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CMS Machine Learning Hands-on Advanced Tutorial Session (HATS)

Setup

Vanderbilt JupyterHub
LPC
Setup Libraries

Tutorials

1. Loading Datasets
2. Dense networks
3. Convolutional Neural Networks for Jet-Images
4. Graph Neural Network (GNN) with PyTorch Geometric
5. Variational Autoencoders with Keras and MNIST
7. Generative Adversarial Networks with Keras and MNIST

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Dense networks

2. Dense networks#

We train dense neural networks in Keras and PyTorch, and provide an example of tuning the hyperparameters using Bayesian optimization.

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1. Loading Datasets

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2.1. Dense neural network with Keras

By Raghav Kansal, on behalf of the LPC

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