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"This book covers modern deep learning and tackles supervised learning, model architecture, unsupervised learning, and deep reinforcement learning"--
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- laplacian (3)
- adjacency-matrix (2)
- cw-complex (2)
- self-attention (2)
- kolmogorov-complexity (1)
- asymptotic-equipartition-property (1)
- mutual-information (1)
- entropy (1)
- simplicial-complex (1)
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- manifold-complex (1)
- combinatorial-surface (1)
- csaszar-polyhedron (1)
- math (1)
- pgms (1)
- sampling (1)
- algebraic-topology (1)
- homeomorphism (1)
- deformation-retraction (1)
- mapping-cylinder (1)
- quotient-space (1)
- homotopy (1)
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- retraction (1)
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- inclusion (1)
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- characteristic-map (1)
- subcomplex (1)
- cw-pair (1)
- product-space (1)
- suspension (1)
- join (1)
- simplex (1)
- radial-projection (1)
- wedge-sum (1)
- smash-product (1)
- isomorphic (1)
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- attach (1)
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- graph (1)
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- kolmogorov-smirnov-test (1)
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- attention-weights (1)
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- linear-transformer (1)
- delta-rule (1)
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- muon (1)
- design (1)
- ownership (1)
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- bit-equivalent (1)
- probability-space (1)
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- nat (1)
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- kernelized-bandit-optimization (1)
- gaussian-process (1)
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- spectral-tail (1)
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