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AI

A collection of 10 posts

AI

Sustainable #AI: compute more, burn less!

2020 has been an incredible year for Scaleway with the launch of more than 20 new services and features. We also worked hard to prepare for the upcoming turning point in our GPU/

  • Kevin Messy
3 min read
AI

VAE: giving your Autoencoder the power of imagination

In this article we will take a detailed look at the Variational Autoencoder: a generative model that is based on its more commonplace sibling, the Autoencoder. Stay tuned for the PyTorch implementation in the next post!

  • Olga Petrova
    Olga Petrova
10 min read
AI

L'IA simplifié: Pilotez votre SaaS par la donnée

Les acteurs du SaaS sont souvent confrontés à un double problématique : d'une part ils doivent assurer leur croissance en développant les nouvelles fonctionnalités attendues par leurs clients. D'autre part ils doivent consolider les

  • Kevin Messy
5 min read
GPU

Moteur de recommandation : dois-je utiliser un CPU ou un GPU ?

Dans un monde dominé par "la data", les GPU sont le hardware de référence pour le deep learning. Mais qu’en est-il des tâches "simples" ? Dans le cas un moteur de recommandation un GPU est-il pertinente?

  • Olga Petrova
    Olga Petrova
  • Kevin Messy
9 min read
GPU

CPU or GPU for your recommendation engine?

In today's data-driven world, GPUs are the hardware of choice for training Deep Learning models. What about tasks that do not involve artificial neural networks? For instance, is there a benefit to using a GPU for making product recommendations? Continue reading to find out!

  • Olga Petrova
    Olga Petrova
8 min read
AI

Que retenir du NVIDIA GPU Technologie Conference (GTC) 2020 ?

Retour en moins de 10 minutes sur tout ce qu'il fallait retenir de l'événement annuel de NVIDIA.

  • Kevin Messy
7 min read
AI

Active Learning, part 2: the Practice

This blog post is the continuation of "Active Learning, part 1: the Theory", with a focus on how to apply the said theory to an image classification task with PyTorch.

  • Olga Petrova
    Olga Petrova
11 min read
AI

Active Learning, part 1: the Theory

Active learning is still a niche approach in machine learning, but that is bound to change. After all, active learning provides solutions to not one, but two challenging problems that have been poisoning the data scientists' lives. Those are, of course, the data: its (a) quantity and (b) quality.

  • Olga Petrova
    Olga Petrova
7 min read
AI

Semi-Supervised Learning with GANs: a Tale of Cats and Dogs

Semi-supervised machine learning is a solution when labeled data is scarce. In the article we introduce a semi-supervised Generative Adversarial Network for image classification. Read on to find out how to get a 20% increase in accuracy when distinguishing cats and dogs with only 100 labeled images!

  • Olga Petrova
    Olga Petrova
19 min read
AI

Natural Language Processing: the age of Transformers

How to build a machine reading comprehension system using the latest advances in deep learning for NLP.

  • Olga Petrova
    Olga Petrova
11 min read
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