#freelancer • 26d
*MIT. Stanford. DeepMind. Berkeley. UMich.* 🚀 *5 playlists that teach AI better than most Masters degrees* 🎓 *Here's the AI Engineering Mix:* 1️⃣ MIT 6.S191 - Intro to Deep Learning: ↳ Fast-track tour of modern Deep Learning. Master everything from the basics of DL to the latest applications https://youtube.com/playlist?list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI&si 2️⃣Neural Networks: Zero to Hero: ↳ Learn from Karpathy as he walks you through backpropping to building your own GPT from scratch https://m.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ 3️⃣ Stanford CS336 - Language Models: ↳ Deeply understand data preproc, LLM building blocks, evals, scaling, and reasoning https://youtube.com/playlist?list=PLoROMvodv4rOY23Y0BoGoBGgQ1zmU_MT_&si=lPGRF-ugOVd0LT2l 4️⃣ UMich Deep Learning for CV: https://youtube.com/playlist?list=PL5-TkQAfAZFbzxjBHtzdVCWE0Zbhomg7r&si=bqQqKP_Bse4Njn_0 5️⃣ Stanford CS236 - Generative AI:
AI Deep Explorer | f... • 4m
AI Resources for Beginners Courses: 1. Stanford CS229: Machine Learning Full Course taught by Andrew NG also you can try his website DeepLearning. Al - https://www.youtube.com/playlist?list=PLoROMvodv4rMiGQp3WXShtMGgzqpfVfbU 2. Convolutional Neur
See MoreAI Deep Explorer | f... • 4m
Old is Gold: Deep Learning Classics In the fast-paced world of AI, it’s easy to overlook the timeless gems that laid the foundation for modern deep learning. Here’s a curated list of classic, high-quality courses taught by pioneers of the field tha
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