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Lecture 3 - Neural Networks | Deep Learning on Computational Accelerators
Tutorial 1 - Python, numpy and friends | Deep Learning on Computational Accelerators
Tutorial 12 | Deep Learning on Computational Accelerators
Lecture 5 supplementary material - Word embedding | Deep Learning on Computational Accelerators
Lecture 12 - Deep neural networks compression | Deep Learning on Computational Accelerators
Lecture 4 - Training Neural Networks | Deep Learning on Computational Accelerators
Simple Explanation of GRU (Gated Recurrent Units) | Deep Learning Tutorial 37 (Tensorflow & Python)
Lecture 5 - Recurrent Neural Networks | Deep Learning on Hardware Accelerators
Tutorial 4 - CNNs | Deep Learning on Computational Accelerators
Lecture 4 - Advanced training methods | Deep Learning on Computational Accelerators
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Last Updated: September 28, 2026
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Summary
Given by Aviv Rosenberg @ CS department of Technion - Israel Institute of Technology. Given by Chaim Baskin @ CS department of Technion - Israel Institute of Technology. Simple Explanation of GRU (Gated Recurrent Units): Similar to LSTM, Gated recurrent unit addresses short term memory problem ... When you don't always have the same amount of data, when translating different sentences from one language to another, ...
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