Recommandé par Nextia
Partout dans le monde, des personnes travaillent pour améliorer l'IA et la rendre accessible à tous. Elles enseignent gratuitement, partagent leur code et expliquent clairement des idées difficiles. Notre mission est de vous aider à créer avec l'IA : nous vous dirigeons donc vers le meilleur de leur travail.
Notre équipe choisit chaque recommandation. Personne ne nous paie pour les afficher. Elles s'ouvrent sur d'autres sites.
Des vidéos, des cours, des articles et des chaînes qui enseignent bien l'IA. Nous expliquons pourquoi nous avons choisi chacun.
Vidéo · 3 h 31 minYouTube · Andrej Karpathy
Pourquoi nous le recommandonsA clear, complete explanation of how a model like ChatGPT is made: internet text, tokens, pre-training, fine-tuning and reinforcement learning. You do not need to write code to follow it. It is long, so watch it in parts.
Cours · 1 h 16 minDeepLearning.AI · Josh Starmer
Pourquoi nous le recommandonsJosh Starmer explains attention one step at a time, with simple pictures. Then you write it in PyTorch. Take it when you know basic Python and what a matrix is.
ChaîneYouTube · Grant Sanderson
Pourquoi nous le recommandonsGrant Sanderson makes hard mathematics easy to see. Start with his series on neural networks and on linear algebra. They are a very good partner to our mathematics course.
Article · 4 min readThe Batch, DeepLearning.AI · Andrew Ng
Pourquoi nous le recommandonsAndrew Ng and his team studied more than 10,000 job posts and talked to experts and hiring managers. The result is a short list of the skills that an AI engineer needs now. Use it to check your learning plan.
ChaîneYouTube · Luis Serrano
Pourquoi nous le recommandonsLuis Serrano explains machine learning, the mathematics behind it and how transformers work, with simple pictures and friendly examples. He is the author of Grokking Machine Learning. A good partner to our mathematics and machine learning courses.
Des personnes qui enseignent, créent et partagent leur travail ouvertement. Suivez-les pour rester à jour en IA.
Teacher and researcher. Founder of Eureka Labs, a founding member of OpenAI and a former director of AI at Tesla.
Pourquoi suivre cette personneHe explains how neural networks and LLMs work from first principles, and he shares the code. His posts often name new ideas early.
Founder of DeepLearning.AI and co-founder of Coursera. He co-founded Google Brain and teaches at Stanford.
Pourquoi suivre cette personneHis machine learning courses started millions of people in AI, and he still explains new ideas in plain words. His posts and his weekly newsletter, The Batch, show what matters now for people who build with AI.
Professor at New York University and executive chairman of AMI Labs. He won the 2018 Turing Award for his work on deep learning.
Pourquoi suivre cette personneOne of the founders of deep learning, and the inventor of convolutional neural networks. He often disagrees with popular views, for example that LLMs alone will lead to human-level AI, and he explains why. Follow him for a strong, reasoned second opinion.
Creator of Keras and author of Deep Learning with Python. Co-founder of Ndea and of the ARC Prize.
Pourquoi suivre cette personneHe writes clearly about what deep learning can and cannot do. He built the ARC-AGI tests to measure how well AI learns new skills, not how much it remembers. His book is one of the best ways to learn deep learning in practice.
Creator of Claude Code at Anthropic, and author of Programming TypeScript.
Pourquoi suivre cette personneHe shares how he and his team work with AI coding agents every day: how they plan, review and test with them. Practical advice for anyone who writes software with AI.
