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李宏毅2021春季机器学习课程课件及作业

名称 项目
2021课程主页 李宏毅2021春季机器学习
百度云资料/作业/范例汇总 提取码:sv1i

章节 名称 资料 作业
Introduction Course Introduction ppt pdf Colab:
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Pytorch:
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Introduction Introduction of ML/DL ppt pdf HW1:
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Deep Learning Guideline of ML: overfit ppt pdf -
Deep Learning Critical Point: small gradient ppt pdf -
Deep Learning Adaptive Learning Rate: optimizer ppt pdf -
Deep Learning Loss of Classification: classification ppt pdf HW2:
pdf code code
CNN & Self-Attention ML Pretest - pdf
CNN & Self-Attention CNN ppt pdf HW3:
pdf code
CNN & Self-Attention Self-Attention ppt pdf HW4:
pdf code
Theory of ML PAC Learning pdf -
Transformer Normalization ppt pdf -
Transformer Seq2Seq ppt pdf HW5:
pdf code code
Generative Model GAN ppt pdf HW6:
pdf code
Self-Supervised Learning BERT ppt pdf HW7:
pdf code
Self-Supervised Learning Auto-Encoder & Anomaly Detection ppt pdf HW8:
pdf code
Explainable AI / Adversarial Attack Explainable AI ppt pdf HW9:
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Explainable AI / Adversarial Attack Adversarial Attack ppt pdf HW10:
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Domain Adaptation - ppt pdf HW11:
pdf code code
RL DRL ppt pdf HW12:
pdf code code
Quantum ML - pdf -
Life-Long/Compression Life-long Learning ppt pdf HW13:
pdf code
Life-Long/Compression Network Compression ppt pdf HW14:
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Meta Learning - ppt pdf HW15:
pdf code

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