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Deep Learning

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Questions for Deep Learning (11)
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What is a Recurrent Neural Network (RNN) used for? What are its applications in Natural Language Processing?
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9/17/2025
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How are Large Language Models (LLMs) trained? Taking the GPT series as an example, what are their core principles?
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9/17/2025
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What impact will the rise of Self-supervised Learning have on the future development of AI?
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9/17/2025
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What is a Generative Adversarial Network (GAN)? How does it generate new data?
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9/17/2025
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What is Transfer Learning? What are its advantages?
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9/17/2025
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What is the principle behind Adversarial Attacks? How can model robustness be improved to resist these attacks?
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9/17/2025
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What is Deep Learning (DL)? How does it differ from traditional Machine Learning?
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9/17/2025
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How to interpret a deep learning model's prediction results (Explainable AI/XAI)? What methods can achieve this?
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9/17/2025
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What is a neural network? What can it be compared to?
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9/17/2025
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What is the working principle of the Transformer architecture? How does its self-attention mechanism address long-range dependencies?
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9/17/2025
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What does a Convolutional Neural Network (CNN) do? Why is it particularly effective in image processing?
Updated At
9/17/2025