Transformer Architecture
Understand the fundamental deep learning architecture that powers modern AI. Learn about self-attention mechanisms, positional encodings, and the encoder-decoder structure that make models like GPT and BERT possible.
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Language Modeling with Transformers and Generative AI
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Foundations of Transformer Models and BERT
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Fundamentals of Encoder-Decoder Architectures
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Attention Mechanisms and Transformers for Beginners
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Foundations of Large Language Models: Building from Scratch with PyTorch
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Transformers from Scratch with PyTorch
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Large Language Models: The Essential Foundations
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Introduction to Deep Learning: Neural Networks, Vision, and Speech Systems
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Introduction to Transformer Models and LLMs for NLP
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Understanding the Transformer Architecture: Build and Train NLP Models
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Large Language Models: Foundations and Practical Applications
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Building Transformer Architectures for Modern AI Systems
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Language AI: Understanding Modern Model Architectures
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Understanding the Attention Mechanism in Neural Networks
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Attention Mechanisms and Transformer Models for Beginners
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NLP Transformer Pipelines: Build and Evaluate Language Models
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Image Captioning with Deep Learning
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Build Image Captioning Models
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Image Captioning Models: A Deep Learning Introduction
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Build Deep Learning Image Captioning Models
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Build Image Captioning Models with Deep Learning
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Build Image Captioning Models with Deep Learning
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Build Image Captioning Models
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Foundations of Transformer and BERT Models
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