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DeepLearningGenerativeModels

Introduction to Generative Models

Generative Models are part of unsupervised learning models that can learned from the datasets without any labels. Unlike other unsupervised models to manipulate, denoise, interpolate between, or compress examples, generative models focus on generating plausible new samples having similar properties to the dataset. Taxonomy of unsupervised learning models..

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DeepLearningTransformer

Introduction to Transformer

Transformer is a really popular method in modern neural networks. We have BERT or GPT to process the natural language and ViT to deal with computer vision. In this essay, you will understand what is the transformer and why the transformer works. But be careful, limited by my knowledge, I can’t show some mathematical theories or code of transformer for you..

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