Generative model that won the 2024 Physics Nobel Prize - Restricted Boltzmann Machines (RBM) скачать в хорошем качестве

Generative model that won the 2024 Physics Nobel Prize - Restricted Boltzmann Machines (RBM)

CORRECTION: The score for BE is 6 and for BD is -1. Restricted Boltzmann Machines (RBMs) are a type of neural network based on Hopfield models, created by Geoff Hinton, winner of the 2024 Physics Nobel Prize. In this video you'll find a gentle introduction to RBMs and their training process, using a real-life example with people and pets. Grokking Machine Learning Book: https://www.manning.com/books/grokkin... 40% discount promo code: serranoyt Images downloaded from www.freepik.com https://www.freepik.com/free-photos-v... https://www.freepik.com/free-photos-v... https://www.freepik.com/free-photos-v... https://www.freepik.com/free-photos-v... Introduction: (0:00) Mystery: (0:17) Scores: (4:39) Probabilities: (7:30) Training (11:09) Contrastive Divergence: (13:37) Small Problem: (15:33) Gibbs Sampling: (16:33) Updating Weights: (20:56) Sampling Problems: (22:58) Independent Sampling: (24:27) Picking Random Samples with Conditions: (28:30) Picking Completely Random Samples: (31:05) Summary: (35:03) Conclusion: (35:57)