Technical Terms– category –

What is GAN? The Basic Concept of GAN GAN (Generative Adversarial Networks) is a type of generative AI introduced by Ian Goodfellow and his colleagues in 2014. GANs consist of two neural networks, known as the "generator" and the "discri...

What is Few-shot Learning? The Basic Concept of Few-shot Learning Few-shot Learning is a machine learning technique designed to train models using only a small amount of data (few shots) while achieving high performance on new tasks. Unl...

BERTとは何か BERTの基本概念 BERT（Bidirectional Encoder Representations from Transformers）は、Googleが開発した自然言語処理（NLP）のモデルで、双方向（Bidirectional）のコンテキストを利用してテキストを理解する手法です。BERTは、単語の意味を...

What is the Attention Mechanism? The Basic Concept of the Attention Mechanism The Attention Mechanism is a technique in machine learning that allows models to focus on the most relevant parts of input data. By assigning different "attent...

~Terms related to optimization algorithms~ Gradient Descent Gradient Descent is an algorithm for optimizing the parameters of a machine learning model. It is a method for adjusting the parameters in the direction that minimizes the error...

Convolutional Neural Network (CNN) A convolutional neural network (CNN) is a type of neural network that is particularly suited to processing 2D data such as images and videos. CNNs have the ability to automatically learn spatial feature...

Linear Regression Linear Regression is a type of regression analysis that models the relationship between data points as a straight line. It is used to find a linear relationship between input variables (independent variables) and output...

Artificial Intelligence (AI) Artificial intelligence (AI) refers to technology or systems that perform tasks by imitating human intelligence. The goal of AI is to enable computers to perform intellectual activities such as learning, reas...