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<p style="text-align: center;">EN</p>
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<p><b>The courses, entirely free and available online, which I have translated into French:</b><br><b>•</b> The <a href="https://lbourdois.github.io/cours-dl-nyu/">Deep learning course from NYU by Yann Le Cun and Alfredo Canziani</a><br>The content is structured into 19 units, with 33 videos 🎥 of courses (lectures and practicums) lasting a total of around 45H, 74 web pages 🌐 summarizing the videos through notes taken by students during the course, and 16 Jupyter notebooks 📓 (in PyTorch) used during practicums.<br><b>•</b> The <a href="https://huggingface.co/learn/nlp-course/fr/">Hugging Face's NLP course 🤗</a><br>The content is structured into 10 chapters comprising a total of 76 videos 🎥 lasting around 5H, 78 web pages 🌐 and 61 Jupyter notebooks 📓 (in PyTorch and Tensorflow).<br><b>•</b> The <a href="https://huggingface.co/learn/audio-course/fr/">Hugging Face's audio course 🤗</a><br>The content is structured into 8 units spread over 46 web pages 🌐<br><b>•</b> The <a href="https://github.com/huggingface/diffusion-models-class/tree/main/units/fr">Hugging Face's diffusion models course 🤗</a><br>This course is not yet available on the Hugging Face website 👀</p>
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<p style="text-align: center;">FR</p>
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<p><b>Les cours, entièrement gratuits et disponibles en ligne, que j'ai traduit en français :</b><br><b>•</b> Le <a href="https://lbourdois.github.io/cours-dl-nyu/">Cours d’apprentissage profond de la NYU de Yann Le Cun et Alfredo Canziani</a><br>Le contenu est structuré en 19 unités, avec 33 vidéos 🎥 de cours (cours magistraux et travaux dirigés) d’une durée totale d’environ 45H, 74 pages web 🌐 résumant les vidéos via les notes prises par les étudiants pendant le cours, et 16 notebooks Jupyter 📓 (en PyTorch) utilisés lors des TD.<br><b>•</b> Le <a href="https://huggingface.co/learn/nlp-course/fr/">Cours de traitement automatique du langage (NLP) de Hugging Face 🤗</a><br>Le contenu est structuré en 10 chapitres comprenant un total de 76 vidéos 🎥 d'une durée totale d'environ 5H, de 78 pages web 🌐 et 61 notebooks Jupyter 📓 (en PyTorch et Tensorflow).<br><b>•</b> Le <a href="https://huggingface.co/learn/audio-course/fr/">Cours d’audio de Hugging Face 🤗</a><br>Le contenu est structuré en 8 unités réparties sur 46 pages web 🌐<br><b>•</b> Le <a href="https://github.com/huggingface/diffusion-models-class/tree/main/units/fr">Cours de modèles de diffusion de Hugging Face 🤗</a><br>Ce cours n'est pas encore visible sur le site de Hugging Face 👀</p>
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<p style="text-align: center;">EN</p>
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<p><b>The courses, entirely free and available online, which I have translated into French:</b><br><b>•</b> The <a href="https://lbourdois.github.io/cours-dl-nyu/">Deep learning course from NYU by Yann Le Cun and Alfredo Canziani</a><br>The content is structured into 19 units, with 33 videos 🎥 of courses (lectures and practicums) lasting a total of around 45H, 74 web pages 🌐 summarizing the videos through notes taken by students during the course, and 16 Jupyter notebooks 📓 (in PyTorch) used during practicums.<br><b>•</b> The <a href="https://huggingface.co/learn/nlp-course/fr/">Hugging Face's NLP course 🤗</a><br>The content is structured into 10 chapters comprising a total of 76 videos 🎥 lasting around 5H, 78 web pages 🌐 and 61 Jupyter notebooks 📓 (in PyTorch and Tensorflow).<br><b>•</b> The <a href="https://huggingface.co/learn/audio-course/fr/">Hugging Face's audio course 🤗</a><br>The content is structured into 8 units spread over 46 web pages 🌐<br><b>•</b> The <a href="https://github.com/huggingface/diffusion-models-class/tree/main/units/fr">Hugging Face's diffusion models course 🤗</a><br>This course is not yet available on the Hugging Face website 👀</p>
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