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About The 9 Deep Learning Papers You Need To Know About 3
The document summarizes 9 important deep learning papers: - AlexNet (2012) was the first to use a CNN to significantly outperform other models on the ImageNet challenge, sparking renewed interest in CNNs. - ZF Net (2013) won the ImageNet challenge that year with a refined AlexNet architecture. It also introduced a technique called "DeconvNet" to visualize CNN feature activations and their relationships to input pixels. - Later papers introduced innovations in network architecture like Inception modules (GoogleLeNet 2014) and residual connections (ResNet 2015), improving performance on image classification and other tasks.
Detailed Information
| Author: | ['jatin1514'] |
|---|---|
| Publication Year: | 2017 |
| Pages: | 19 |
| Language: | English |
| Format: | |
| Price: | FREE |
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