Piotr Migdal — Matrices and tensors — named and visualized
Ближайшая конференция:
PiterPy 2022 — осень 2022
Подробности:
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In data science, we often work with numeric arrays for signals, images, and accounting data—input, output, everything. When we use Pandas (vs. raw NumPy), we have named dimensions (rows and columns) plus an easy way to plot the numerical values.
In this talk, I will show how to go beyond that—how to name dimensions in 3- and more dimensional arrays for deep learning (with Named Tensors in PyTorch), how to visualize advanced operations in a simple way (using tensor diagrams), and how to plot complex numbers (for quantum computing).
I will give examples from two open-source projects I developed.
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