CANCELLED - Statistics Technical Network webinar "Fundamentals of Deep Learning: two case-scenarios solved with fast.ai"

Online event 02/12/2022 02/12/2022

On 2 December, the Statistics Technical Network will organize a webinar on the fundamentals of Deep Learning, where FAO colleagues from the Statistics Division will present the benefits of fast.ai.

 

 

 

 

 

 

Date from: 02/12/2022
Date to: 02/12/2022
Keywords: Natural Language Processing; Machine Learning; Artificial Intelligence
Venue: Online event
Country:
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Topic: Statistics Technical Network
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We regret to inform you that tomorrow's webinar is cancelled. A message regarding new date and time will be posted on the FAO Statistics website as soon as possible (https://www.fao.org/statistics/en/).

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WHEN | Friday, 2 December 2022, 14:00-15:00 Rome time | REGISTER HERE

Nowadays neural networks are widely used in a wide range of applications. In some areas, such as Computer Vision (CV) and Natural Language Processing (NLP), this new technology has outperformed previous state-of-the-art models.

The FAO Data Lab is using neural networks to tackle real-world problems on daily data (such as classification of tweets and images) by exploiting fast.ai, a Python library built on top of PyTorch.

fast.ai allows to build neural nets from scratch, tailored to the project's purposes, in a few hours with a perfect combination of model customization and speed (to create, train and deploy models). In this webinar, we will explore the potential of this library showing a couple of case scenarios, in the field of NLP and CV, that can be solved with fast.ai.

The aim of this presentation is to share our approach to any potential user and provide suggestions about solving tasks that could be problematic with other standard methods by using this off-the-shelf and powerful tool.

Introduction

  • Carola Fabi, Senior Statistician, FAO Statistics Division

Presenter

  • Gianfausto Bottini, Data Scientist, FAO Data Lab

For more information about the FAO Data Lab, please visithttps://www.fao.org/datalab/website/web/home 


Division: Statistics Division (ESS)