Introduction to PyTorch: Completely uninformed image modeling
Details
PyTorch (http://pytorch.org/) is a GPU matrix library for Python.
Based on the ideas (and C code) for Torch, a lua environment for scientific computation, it combines speed of execution with an elegant programming framework for computation on the GPU.
Pytorch has specialised modules for automatic differentiation,neural networks and transforms
- In this talk we will:
- Introduce the core library and concepts behind PyTorch
- Cover simple linear models with PyTorch
- Look at how to import data into PyTorch format
- Fit some (relatively) simple neural networks on image data
- Fit some LSTM's to text data
- Examine the performance relative to traditional approaches
- We will use samples from the Kaggle rentals (https://www.kaggle.com/c/two-sigma-connect-rental-listing-inquiries) competition
- Specifically, a sample of images obtained during the course of my last talk (https://www.meetup.com/DublinR/events/239190623/)
Speaker: Richie Morrisroe