Positional Encoding Courses and Certifications

Generative AI Language Modeling with Transformers

18 ratings at Coursera

Learn to apply transformer-based models for NLP tasks, covering encoder-decoder architectures, attention mechanisms, and implementations of BERT and GPT models using PyTorch for text classification and translation.

• Coursera
• 8 hours 48 minutes
• On-Demand
• Free Online Course (Audit)

Aladdin Persson

NeRFs- Neural Radiance Fields - Paper Explained

1 review

Explore neural radiance fields for 3D scene representation and view synthesis, covering network architecture, key concepts, learning process, and advanced techniques.

• YouTube
• 20 minutes
• On-Demand
• Free Video

CodeEmporium

Deep Dive into the Transformer Encoder Architecture

Detailed exploration of transformer encoder architecture, covering embeddings, positional encodings, self-attention mechanisms, and key components for effective natural language processing.

• YouTube
• 21 minutes
• On-Demand
• Free Video

Yannic Kilcher

LambdaNetworks- Modeling Long-Range Interactions Without Attention

Explore LambdaNetworks, a novel approach to modeling long-range interactions in AI without traditional attention mechanisms, offering improved efficiency and performance in computer vision tasks.

• YouTube
• 1 hour
• On-Demand
• Free Video

Yannic Kilcher

NeRF - Representing Scenes as Neural Radiance Fields for View Synthesis

Explore NeRF, a neural network-based approach for 3D scene representation and novel view synthesis, achieving photorealistic results from sparse input images through volumetric rendering.

• YouTube
• 34 minutes
• On-Demand
• Free Video

Yannic Kilcher

Perceiver - General Perception with Iterative Attention

Explore DeepMind's Perceiver model, a versatile architecture that processes diverse input modalities using iterative attention, solving the quadratic bottleneck problem in Transformers.

• YouTube
• 30 minutes
• On-Demand
• Free Video

The Full Stack

Transfer Learning and Transformers - Full Stack Deep Learning - Spring 2021

Explore transfer learning's evolution from computer vision to NLP, diving into embeddings, language models, and the revolutionary Transformer architecture. Gain insights into various models and their applications.

• YouTube
• 49 minutes
• On-Demand
• Free Video

The Full Stack

LLM Foundations - LLM Bootcamp

Explore foundational concepts of large language models, including machine learning basics, Transformer architecture, and notable LLMs. Gain insights into pretraining datasets and instruction tuning.

• YouTube
• 48 minutes
• On-Demand
• Free Video

StatQuest with Josh Starmer

Transformer Neural Networks, ChatGPT's Foundation, Clearly Explained

Clear explanation of Transformer Neural Networks, the foundation of ChatGPT and modern AI. Covers key concepts like word embedding, self-attention, and encoder-decoder architecture.

• YouTube
• 36 minutes
• On-Demand
• Free Video

CodeEmporium

The Complete Guide to Transformer Neural Networks

Comprehensive exploration of Transformer neural networks for language translation, covering architecture, key components, and practical implementation insights.

• YouTube
• 28 minutes
• On-Demand
• Free Video

Aleksa Gordić - The AI Epiphany

Attention Is All You Need - Transformer Paper Explained

Detailed walkthrough of the original transformer architecture, covering tokenization, embeddings, attention mechanisms, and decoding, with a focus on machine translation applications.

• YouTube
• 39 minutes
• On-Demand
• Free Video

Yannic Kilcher

Attention Is All You Need

Explore the groundbreaking Transformer architecture, revolutionizing sequence transduction with attention mechanisms. Learn its superior performance in machine translation and generalization to other NLP tasks.

• YouTube
• 27 minutes
• On-Demand
• Free Video

Serrano.Academy

Transformer Models: Understanding Their Architecture and Functionality - Part 3

Demystifying Transformer models with visuals and examples, covering key concepts like attention mechanism, tokenization, embeddings, and fine-tuning for various NLP tasks.

• YouTube
• 44 minutes
• On-Demand
• Free Video

Envato Tuts+

Transformers: Introduction and Fundamentals - Day 1

Explore the fundamentals of Transformers, a powerful deep learning architecture revolutionizing natural language processing and beyond.

• YouTube
• 44 minutes
• On-Demand
• Free Video

Graham Neubig

Attention and Transformers in Advanced NLP - Lecture 4

Explore attention mechanisms, Transformer architecture, and key components like multi-head attention and positional encodings in advanced natural language processing.

• YouTube
• 1 hour 19 minutes
• On-Demand
• Free Video