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modern-ai-course

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Topic 1.1_ Introduction to Modern AI and the Deep Learning Paradigm Shift.pdf
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Topic 1.2_ Setting up the Development Environment.pdf
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Topic 1.3_ PyTorch Fundamentals.pdf
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Topic 1.4_ Working with Datasets in PyTorch.pdf
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Topic 2.1_ Activation Functions in Detail.pdf
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Topic 2.2_ Loss Functions and Optimization Algorithms.pdf
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Topic 2.3_ Building and Training Deep Neural Networks.pdf
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Topic 2.4_ Introduction to Convolutional Neural Networks (CNNs) - A Brief Overview.pdf
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Topic 3.1_ The Need for Transformers.pdf
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Topic 3.2_ Understanding the Self-Attention Mechanism.pdf
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Topic 3.3_ The Transformer Architecture.pdf
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Topic 3.4_ Implementing Transformers from Scratch.pdf
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Topic 4.1_ Introduction to the Hugging Face Ecosystem.pdf
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Topic 4.2_ Using Pre-trained Transformer Models.pdf
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Topic 4.3_ Fine-tuning Transformer Models for Downstream Tasks.pdf
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Topic 4.4_ Practical Applications of Transformers in Natural Language Processing (NLP).pdf
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Topic 5.1_ Introduction to Generative Modeling.pdf
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Topic 5.2_ Autoregressive Models.pdf
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Topic 5.3_ Introduction to Latent Variable Models.pdf
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Topic 5.4_ The Rise of Diffusion Models.pdf
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Topic 6.1_ The Forward Diffusion Process.pdf
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