fastai—A Layered API for Deep Learning · fast.ai

Written: 13 Feb 2020 by b 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 domains, and provides researchers with low-level components that can be mixed and matched to build new approaches. It aims to do both things without substantial compromises in ease of use, flexibility, or performance. This is possible thanks to a carefully layered architecture, which expresses c

15 mentions: @jeremyphoward@tunguz@aakashns@JoanGibert4@YvesMulkers@BenoitCourty@HackTheAI@JovianML
Keywords: deep learning
Date: 2020/02/13 15:50

Referring Tweets

@jeremyphoward The fastai paper (with @GuggerSylvain) is now available on arXiv and on our site! It's been peer reviewed and will appear in the journal Information soon. The paper covers v2, which is a from-scratch rewrite that focuses on usability and hackability. 1/n t.co/vJ0OjuG1tD
@aakashns FastAI v2 + Optuna seems like a great toolkit for @Kaggle competitions in 2020 @OptunaAutoML : t.co/WRunVQpKO1 @fastdotai : t.co/z1yvd0PX68
@BenoitCourty FastAI v2 pre-release is out t.co/gJcwtJuvCs this will allow easy customization of Deep Learning algorithms. Thank you so much for your work! t.co/ACzyMXFg9a
@JovianML The fastai paper is out now! The paper covers v2, which is a from-scratch rewrite that focuses on usability and hackability. Check the full version here for more insights: t.co/9RNLSvpOiv Congratulations @fastdotai @jeremyphoward and @GuggerSylvain

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