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About Deep Learning Tutorial and Recent Trends by Song Han
Deep learning is changing our lives through applications like self-driving cars, machine translation, and artistic style transfer. However, deep learning models are becoming increasingly large and computationally expensive. This presents challenges for deployment on devices with limited resources. The talk discusses algorithms and hardware techniques for making deep learning more efficient, including pruning neural networks to reduce model size without affecting accuracy. The goal is to open the black box between applications and hardware and allow co-design for efficient deep learning.
Detailed Information
| Author: | ['engsayed_elgendy'] |
|---|---|
| Publication Year: | 2017 |
| Pages: | 108 |
| Language: | English |
| Format: | |
| Price: | FREE |
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