Elizabeth Ramírez
where else to find them
what they talk about
all 4 in the filters
where they keep going back
- ScaleConf Colombia2 editions2018–2019
on a stage with
never shared a talk
who talks about the same things
- Ruben van de Geer2 talks
- Marianne Hoogeveen2 talks
- Anima Anandkumar7 talks
- Mark Hoemmen3 talks
- Hector Andrade Loarca2 talks
- Alessandro Giusti3 talks
| title | conference | date |
|---|---|---|
| The Linear Algebra of Deep Learning | Code Mesh LDN 2020 | 2020-11-05 |
Argues that deep nets reduce to linear algebra and demonstrates two concrete speedups: using randomized SVD to compress large matrices by choosing target rank… | ||
| The Linear Algebra of Deep Learning | ScaleConf Colombia 2019 | 2019-05-17 |
Explains how the core components of neural networks and deep learning are fundamentally operations from linear algebra. Covers matrices, vectors, and linear… | ||
| Linear Algebra for FE Developers | JSConfCO 2018 | 2018-11-16 |
Describes using linear algebra and homogeneous coordinates to treat image and sensor operations as single matrix transforms so translations, scales, rotations… | ||
| Large-Scale Matrix Operations | ScaleConf Colombia 2018 | 2018-04-27 |
Covers numerical methods and data representations for large-scale matrix and tensor computations used in scientific computing and machine learning, including… | ||
| nothing matches | ||