{"slug": "transfer-learning-stand-on-a-pretrained-model", "title": "Transfer Learning: Stand on a Pretrained Model", "summary": "A developer demonstrates how transfer learning enables high accuracy with few examples by reusing a pretrained model's general features. An interactive demo races accuracy curves for training from scratch versus transfer learning, showing the latter starts high and climbs fast. The technique is compared to fine-tuning open LLMs, making deep learning practical without large datasets or GPU farms.", "body_md": "You don't have a million labeled images or a GPU farm — and you don't need them. Transfer learning lets you stand on a model someone else trained and reach high accuracy with a few examples in minutes. Here's the idea, visualized.\n\n♻️ **Race scratch vs transfer:** [https://dev48v.infy.uk/dl/day17-transfer-learning.html](https://dev48v.infy.uk/dl/day17-transfer-learning.html)\n\nThe early layers of a trained network learn *general* features — edges, textures, shapes — that are useful for almost any vision task. Only the last layers are task-specific. So why relearn edges from scratch?\n\nThe demo races two accuracy curves: \"from scratch\" crawls up and plateaus low (not enough data); \"transfer learning\" starts high and climbs fast. Tweak the example count and freeze/fine-tune to see them respond.\n\nThis is exactly why fine-tuning an open LLM works: a foundation model already learned language; you adapt it cheaply. Transfer learning is what makes deep learning practical for the rest of us.\n\n🔨 Full recipe (load pretrained → freeze → new head → train → optionally fine-tune low-LR) on the page: [https://dev48v.infy.uk/dl/day17-transfer-learning.html](https://dev48v.infy.uk/dl/day17-transfer-learning.html)\n\nPart of DeepLearningFromZero. 🌐 [https://dev48v.infy.uk](https://dev48v.infy.uk)", "url": "https://wpnews.pro/news/transfer-learning-stand-on-a-pretrained-model", "canonical_source": "https://dev.to/dev48v/transfer-learning-stand-on-a-pretrained-model-4hba", "published_at": "2026-06-26 15:42:29+00:00", "updated_at": "2026-06-26 16:03:42.048962+00:00", "lang": "en", "topics": ["machine-learning", "computer-vision", "large-language-models", "ai-research", "developer-tools"], "entities": ["DeepLearningFromZero"], "alternates": {"html": "https://wpnews.pro/news/transfer-learning-stand-on-a-pretrained-model", "markdown": "https://wpnews.pro/news/transfer-learning-stand-on-a-pretrained-model.md", "text": "https://wpnews.pro/news/transfer-learning-stand-on-a-pretrained-model.txt", "jsonld": "https://wpnews.pro/news/transfer-learning-stand-on-a-pretrained-model.jsonld"}}