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Probabilistic Reasoning in Neural Networks: A Dev Guide
Learn to build neural networks that reason under uncertainty using Bayesian methods, MC Dropout, and deep ensembles. Practical PyTorch examples included.
Learn to build neural networks that reason under uncertainty using Bayesian methods, MC Dropout, and deep ensembles. Practical PyTorch examples included.
Master PyTorch fundamentals, build neural networks, and deploy production-ready models with this comprehensive guide featuring best practices and real examples.