Tag: distributed representation

November 1, 2025 / Mohammed looti

CONNECTIONIST MODELS OF MEMORY

Introduction to Connectionist Models of Memory The connectionist framework represents a radical departure from traditional symbolic models of cognition, positing that human insight and memory are not encoded in discrete, centralized symbols but rather in the intricate network of relationships between processing units. These concepts form a group of theories that hypothesize knowledge, understanding, and […]

October 8, 2025 / Mohammed looti

DISTRIBUTED REPRESENTATION

Distributed Representation is a type of representation used in machine learning that encodes knowledge in a neural network as a set of real-valued vectors. It is an important component of deep learning and is used to represent words, phrases, and other types of text in a way that allows for automatic performance of tasks such […]