BITESIZE | What's Missing in Bayesian Deep Learning?
Learning Bayesian Statistics
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Challenges in Bayesian Deep Learning Tools and Inference Methods
This chapter examines the difficulties associated with Bayesian deep learning tools in contrast to standard frameworks like PyTorch and TensorFlow. It addresses the challenges in computing Bayesian neural network posteriors and highlights ongoing efforts to create more integrated applications for Bayesian inference within deep learning architectures.
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