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(Important) (Resnet 50 Paper) Howard Et Al 2020 Fastai A Layered API For Deep Learning PDF

27 Pages·2020·English
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by ['NelsonNwauche']| 2020| 27 pages| English

About (Important) (Resnet 50 Paper) Howard Et Al 2020 Fastai A Layered API For Deep Learning

This document summarizes the fastai deep learning library. It has the following key points: 1. Fastai is a deep learning library that aims to be both easy to use for quick application of pre-existing methods as well as customizable for researchers to build new approaches. 2. It uses a layered architecture with high, mid, and low-level APIs to achieve this balance of usability and flexibility. The high-level API provides ready-to-use functions for common domains like vision and text. 3. An example shows how fastai can fine-tune an ImageNet model on a pet image dataset with just 4 lines of code, achieving state-of-the-art accuracy quickly.

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Author:['NelsonNwauche']
Publication Year:2020
Pages:27
Language:English
Format:PDF
Price:FREE
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