Probabilistic Graphical Models

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Mon Sep 01 2025

7931 words · 41 minutes

Deep Learning Notes - 5: Convolutional Networks and Probabilistic Graphical Models

Deep Learning Notes - 5, covering Convolutional Neural Networks (convolution, pooling, object detection, image segmentation, style transfer) and Probabilistic Graphical Models (Bayesian networks, conditional independence, d-separation). Corresponds to Chapters 10-11 of "Deep Learning: Fundamentals and Concepts".

Notes Deep Learning Learning CNN Convolutional Neural Network Probabilistic Graphical Models