Transformer Architecture — PickAClass

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.

315 courses

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Language Modeling with Transformers and Generative AI

4.5 (147)
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Foundations of Transformer Models and BERT

4.1 (125)
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Fundamentals of Encoder-Decoder Architectures

4.3 (51)
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Attention Mechanisms and Transformers for Beginners

4.2 (50)
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Foundations of Large Language Models: Building from Scratch with PyTorch

4.8 (24)
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Transformers from Scratch with PyTorch

5.0 (19)
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Large Language Models: The Essential Foundations

4.7 (10)
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Introduction to Deep Learning: Neural Networks, Vision, and Speech Systems

3.8 (8)
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Introduction to Transformer Models and LLMs for NLP

4.0 (5)
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Understanding the Transformer Architecture: Build and Train NLP Models

4.5 (2)
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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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