Subword-level tokenization
Subword-level tokenization
Subword-level tokenization is a natural language processing (NLP) approach that...
ICT技術:ICT Technology
Overview of Vector Database
Overview of Vector Database
A vector database is a type of database that will primarily store vector data a...
Overview of Deep Q-Network (DQN) and examples of algorithms and implementations
Overview of Deep Q-Network (DQN)
Deep Q-Network (DQN) is a method that combines deep learning and Q-Learnin...
Overview of TIME-SI (Time-aware Structural Identity), its algorithm and implementation
TIME-SI (Time-aware Structural Identity)
Time-aware Structural Identity (TIME-SI) is one of the algorithms...
Detection of small objects by image pyramids and high-resolution feature maps in image detection
Detection of small objects by image pyramids and high-resolution feature maps in image detection
Detecting sm...
Overview of the Eichnholz Algorithm (Aho-Hopcroft-Ullman Algorithm) and related algorithms and implementation examples
Overview of Aho-Hopcroft-Ullman Algorithm
The Eichnholz Algorithm (Aho-Hopcroft-Ullman Algorithm) will be ...
Board Games and AI “Why Alpha Go Could Beat Humans” Reading Notes
Introduction
AlphaGo, a computer Go program developed by Google DeepMind, became the first computer Go prog...
Overview of Dueling DQNs and Examples of Algorithms and Implementations
Overview of Dueling DQN
Dueling Deep Q-Network (DQN) is an algorithm based on Q-learning in reinforcement l...
Overview of MAGNA (Maximizing Accuracy in Global Network Alignment), its algorithm and examples of implementation
MAGNA (Maximizing Accuracy in Global Network Alignment)
MAGNA is a set of algorithms and tools for mapping...
Adding a head (e.g., regression head) to refine positional information to the object detection model
Adding a head (e.g., regression head) to refine positional information to the object detection model
Adding a...