یادگیری عمیق برای #سیستم‌هایـتوصیه‌گر

Deep Learning for #Recommendation_Systems

https://github.com/robi56/Deep-Learning-for-Recommendation-Systems

#Recommendation

#Andrew_NG strongly recommend for deep learning learners to read a paper which had published on #ArXiv called: " Exploring the Limits of Weakly Supervised Pretraining".

Abstract
State-of-the-art visual perception models for a wide range of tasks rely on supervised pretraining. ImageNet classification is the defacto pretraining task for these models. Yet, ImageNet is now nearly ten years old and is by modern standards small. Even so, relatively little is known about the behavior of pretraining with datasets that are multiple orders of magnitude larger. The reasons are obvious: such datasets are difficult to collect and annotate. In this paper, we present a unique study of transfer learning with large convolutional networks trained to predict hashtags on billions of social media images. Our experiments demonstrate that training for large-scale hashtag prediction leads to excellent results. We show improvements on several image classification and object detection tasks, and report the highest ImageNet-1k single-crop, top-1 accuracy to date: 85.4% (97.6% top-5). We also perform extensive experiments that provide novel empirical data on the relationship between large-scale pretraining and transfer learning performance.

Reference :

https://research.fb.com/publications/exploring-the-limits-of-weakly-supervised-pretraining/
🌿🌿🌿💭💭💭🌹🌹🌹

You can find the paper in the next message.

Your Channel:
https://t.me/Machinelearning_Kartal/1403

#Recommendation
Walter J. Freeman
Neural networks
What course should we take ? How about mathematics?


@Machinelearning_Kartal

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