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Lecture 11 - Learning on non-Euclidean domains | Deep Learning on Computational Accelerators
Tutorial 10 - Numba | Deep Learning on Computational Accelerators
Tutorial 8 - Domain Adaptation | Deep Learning on Computational Accelerators
Lecture 1b - Introduction | Deep Learning on Computational Accelerators
Tutorial 9 - Geometric deep learning | Deep Learning on Computational Accelerators
Tutorial 7 - Deep reinforcement learning | Deep Learning on Computational Accelerators
Tutorial 5 - RNNs | Deep Learning on Computational Accelerators
Tutorial 2 - Logistic Regression | Deep Learning on Computational Accelerators
Tutorial 3 - Multilayer Perceptron | Deep Learning on Computational Accelerators
Tutorial 4 - CNNs | Deep Learning on Computational Accelerators
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Last Updated: September 21, 2026
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Summary
Given by Chaim Baskin @ CS department of Technion - Israel Institute of Technology. Given by Prof. Avi Mendelson @ CS department of Technion - Israel Institute of Technology. Given by Aviv Rosenberg @ CS department of Technion - Israel Institute of Technology.
Tutorial 12 Deep Learning On Computational Accelerators.pdf
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