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researcher

Jeremy Howard

6 papers hereh-index 85.8k citations16 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1
  • last author3

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.LG2
same name
  • Jeremy Howard — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182020
most citedfastai: A Layered API for Deep Learning

1k citations · 1.1k across the 5 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2020★ 1k cited

fastai: A Layered API for Deep Learning

Jeremy Howard, Sylvain Gugger

fastai is a deep learning library which provides practitioners with high-level components that can quickly and easily provide state-of-the-art results in standard deep learning dom…

cs.LG2018★ 12 cited

The Matrix Calculus You Need For Deep Learning

Terence Parr, Jeremy Howard

This paper is an attempt to explain all the matrix calculus you need in order to understand the training of deep neural networks. We assume no math knowledge beyond what you learne…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.