Cryptocurrency Q&A
What is the weakness of ResNet?
What is the weakness of ResNet?
Isabella
Sat Aug 24 2024
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7 answers
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Could you elaborate on the potential drawbacks or limitations of the ResNet architecture in the realm of deep learning and neural networks? Specifically, are there any scenarios where ResNet might struggle to achieve optimal performance or face challenges that other network architectures might handle more effectively? It would be insightful to understand the weaknesses that researchers and practitioners should be aware of when utilizing ResNet for various applications.
7 answers
Michele
Mon Aug 26 2024
As a result, the network's ability to learn and optimize its weights becomes hindered.
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Sara
Mon Aug 26 2024
Despite its widespread adoption and effectiveness, ResNet faces a significant challenge in the realm of very deep networks.
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EthereumEagle
Mon Aug 26 2024
The impact of this issue is exacerbated as the number of layers in the network increases.
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CryptoWizard
Mon Aug 26 2024
With more layers, the gradients need to propagate through a longer path, making them more prone to diminishing in magnitude.
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henry_harrison_philosopher
Mon Aug 26 2024
The primary issue arises from the potential disappearance of gradients during the training process.
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