{"schema_version":"onlylabs.public_signal.v1","title":"Scaleway Writing: Semi-Supervised Learning with GANs: a Tale of Cats and Dogs","description":"Scaleway writing signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/a010f5b8-4181-48ad-9470-5865d6d18f61","json_url":"https://onlylabs.fyi/signals/a010f5b8-4181-48ad-9470-5865d6d18f61/signal.json","generated_at":"2026-06-07T21:19:28.089169+00:00","org":{"slug":"scaleway","name":"Scaleway","category":"neocloud","category_label":"Neocloud","dossier_url":"https://onlylabs.fyi/labs/scaleway","dossier_json_url":"https://onlylabs.fyi/labs/scaleway/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/a010f5b8-4181-48ad-9470-5865d6d18f61","signal_json":"https://onlylabs.fyi/signals/a010f5b8-4181-48ad-9470-5865d6d18f61/signal.json","source":"https://www.scaleway.com/en/blog/semi-supervised/","lab_dossier":"https://onlylabs.fyi/labs/scaleway","lab_dossier_json":"https://onlylabs.fyi/labs/scaleway/dossier.json","analysis":"https://onlylabs.fyi/analysis/scaleway","analysis_json":"https://onlylabs.fyi/analysis/scaleway/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/scaleway/evidence.json","category":"https://onlylabs.fyi/neoclouds","category_json":"https://onlylabs.fyi/neoclouds.json","category_feed":"https://onlylabs.fyi/neoclouds/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neocloud","topic":"https://onlylabs.fyi/topics/talking","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json?category=neocloud","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml?category=neocloud","data_business":null},"answer_pack":{"answer":"Scaleway published Semi-Supervised Learning with GANs: a Tale of Cats and Dogs. 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We then go through the steps of using a Generative Adversarial Network architecture for the task of 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! *Compared to the fully supervised classifier trained on labeled images only Semi-Supervised Learning: the Why and the What If you are at all interested in artificial intelligence, it is likely that reading about a new breakthrough achieved by an AI model has become part of your routine. One day AI attains better accuracy on screening mammograms for breast cancer than trained experts (human or avian ), and next it beats top human players at StarCraft II . What is behind many of these success stories is deep learning: a branch of machine learning that deals with a particular class of models, deep artificial neural networks. 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