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Related lectures (32)

Page 3 of 4

Document Classification: Transformers and MLPs

Explores transformers and MLPs for document classification, emphasizing their benefits over traditional methods.

Input / Output Basics

Covers the basics of input and output in C programming, focusing on keyboard and screen inputs and outputs, as well as file handling.

Graphical Models: Probability Distributions and Factor Graphs

Covers graphical models for probability distributions and factor graphs representation.

Transformer Networks: Self-Attention

Explains Transformer networks and self-attention layers for mapping inputs and multi-head attention.

Switzerland's Political Integration

Explores Switzerland's multicultural society and political integration, focusing on peaceful cohabitation, federalism, and the Swiss Sonderfall.

CYK algorithm

Introduces the CYK algorithm for efficient syntactic analysis using chart parsing and discusses its complexity and bottom-up parsing technique.

Words, tokens, n-grams and Language Models

Explores words, tokens, n-grams, and language models, focusing on probabilistic approaches for language identification and spelling error correction.

Arrays in C: Advanced Data Types

Discusses advanced data types in C, focusing on arrays and their characteristics.

Digital History: Exploring 20th Century through Press Analysis

Explores digital history and press analysis, emphasizing the impact of digital tools on knowledge dissemination and historical research.

Vision-Language-Action Models: Training and Applications

Delves into training and applications of Vision-Language-Action models, emphasizing large language models' role in robotic control and the transfer of web knowledge. Results from experiments and future research directions are highlighted.