Dive into Deep Learning

• Dive into Deep Learning (pdf)
• Entraînement d’un réseau de neurones (Nicholas Wolff)
• 1. But what is a neural network? (3Blue1Brown)
• 2. Gradient descent, how neural networks learn
• 3. Backpropagation, step-by-step
• 4. Backpropagation calculus
• 5. Large Language Models explained briefly
• 6. Transformers (how LLMs work) explained visually
• 7. Attention in transformers, step-by-step
• 8. How might LLMs store facts
• Opt. But what is the Fourier Transform? A visual introduction
• Opt. But what is quantum computing?
• Formation en Deep Learning (Machine Learnia, 2021)
• Le perceptron
• Les gradients d’un neurone
• La vectorisation des équations
• Programmation d’un neurone artificiel
• Neurone artificiel – chat vs chien
• How convolutional neural networks work, in depth

Books

• Probabilistic Machine Learning: An Introduction (available online), Kevin P. Murphy
• Understanding Deep Learning (available online), Simon J.D. Prince
• Deep Learning, Ian Goodfellow (available online), Yoshua Bengio, and Aaron Courville
• Deep Learning with Python (2nd ed available online), François Chollet
• Dive into Deep Learning (available online), Aston Zhang , Zachary C. Lipton , Mu Li , Alexander J. Smola
• Information Theory, Inference and Learning Algorithms (available online), David JC MacKay
• Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow (available online), Aurélien Géron

Videos

• Science des données, Stéphane Mallat (Collège de France)
• Les 4 étapes pour entrainer un LLM, David Louapre (science étonnante)

Environments

• TensorFlow
• TensorFlow Playground
• TensorFlow 2.0 Tutorial For Beginners | TensorFlow Demo | Deep Learning & TensorFlow (1h30)
• TensorFlow 2.0 Complete Course – Python Neural Networks for Beginners Tutorial (7h)
• Keras
• PyTorch
• PyTorch Tutorial 04 – Backpropagation

Research

• Conferences
  • NeurIPS (December 2025: San Diego Convention Center)
  • ICML (July 2025, Vancouver Convention Center)
  • ICLR (April 2025, Singapore EXPO)
  • COLT (June 2025, Lyon, France)
  • AAAI Conference on Artificial Intelligence (AAAI) (2025 Philadelphia, USA)
• Journals
  • Journal of Machine Learning Research
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Neural Networks and Learning Systems
  • Nature Machine Intelligence
  • Artificial intelligence, Nature
• Leading University Research Centers
  • Swiss AI Initiative
  • EPFL AI-Center
  • ETH AI Center
  • University of California, Berkeley (BAIR Lab)
  • Stanford University (Stanford AI Lab – SAIL)
  • MIT (Computer Science and Artificial Intelligence Laboratory – CSAIL)
  • Carnegie Mellon University (CMU) – AI
  • University of Oxford – AI
  • University of Cambridge – AI
  • University of Tsinghua – AIR
  • National University of Singapore (NUS) – AI Institute
  • University of Toronto – AI
  • Simons Institute for the Theory of Computing
  • Institute of Advanced Studies (IAS)
  • Ecole Normale Supérieure (ENS)
• Corporate and Non-Profit Research Labs
  • DeepMind (an Alphabet company)
  • Open AI Research
  • Microsoft Research for Science
  • Meta AI (formerly Facebook AI Research – FAIR)
  • IBM Research
  • Baidu Research – AI

Use of LLMs in research (NeurIPS)

Colleagues & Friends & People

• Bastian Grossenbacher Rieck (Topological Deep Learning)

IA Souveraine (Switzerland)

• IA Open Source in Switzerland (Infomaniak)
• IA Open Source Models (Infomaniak)

An Introduction to AI in French (Master HES-SO)

• #1 – Découverte des outils d’IA les plus courants, par Richard-Emmanuel Eastes (HES-SO & Savoirs en Société)
• #2 – Explication des principes de base de l’IA
• #3 – Conseils pour une utilisation sans risques des chatbots
• #4 – Toutes les raisons pour lesquelles nous devons craindre l’IA
• #5 – Le prompt engineering comme vous ne l’avez encore jamais vu ! Prompt Engineering avec ChatGPT, un guide méthodologique pour l’enseignement, Dr. Thomas Steiner, HES-SO
• #6 – Comment l’IA met en danger la vérité et la démocratie (et pas forcément comme vous le croyez)
• #7 – Infrastructures de l’IA, ce fléau écologique dont personne ne parle (feat. Dominique Bollinger)
• #8 – Intégrité académique : étudiez avec l’IA sans tricher !

Grand public – General Public

• IA qu’à m’expliquer
• France Culture
  • L’Intelligence artificielle : utopie dystopique
  • L’intelligence artificielle, objet philosophique
  • L’intelligence artificielle, une arme géopolitique

News, press releases and articles on artificial intelligence worldwide

• The 2025 AI Index Report – HAI Stanford University, April 2025
• How People Are Really Using Gen AI in 2025 – Harvard Business Review, April 2025
• China’s Huawei Develops New AI Chip, Seeking to Match Nvidia – The Wall Street Journal, April 2025
• Microsoft just launched powerful AI ‘agents’ that could completely transform your workday — and challenge Google’s workplace dominance – VentureBeat, April 2025
• Qwen3: Think Deeper, Act Faster – Qwen, April 2025
• Fact Sheet: President Donald J. Trump Advances AI Education for American Youth – The Whiteshouse, April 2025
• How It’s Made: Little Language Lessons uses Gemini’s multilingual capabilities to personalize language learning – Google for developers, April 2025
• Meta to start training its AI models on public content in the EU – Techcrunch, April 2025
• Anthropic Education Report: How University Students Use Claude – Anthropic, April 2025
• Meta to start training its AI models on public content in the EU – Techcrunch, April 2025
• Amazon’s new Nova Sonic foundation model understands not just what you say—but how you say itIntroducing Claude for Education – Amazon, April 2025
• Introducing Claude for Education – Anthropic, April 2025