반응형 초심자를 위한 AI/Introducing AI23 [AI] One Point Lesson : Deep Learning What is Deep Learning? Artificial intelligence (AI) has become a buzzword in recent years, and deep learning is at the forefront of this exciting field. Deep learning is a type of machine learning that uses artificial neural networks to learn from data. Artificial neural networks are inspired by the human brain, and they are able to learn complex patterns and make predictions without being expli.. 2023. 4. 30. [GAI] Generative AI Basic(7) : Generative Adversarial Networks (GANs) Introduction to GANs Generative Adversarial Networks (GANs) are a type of deep learning model that are used to generate new data. GANs were introduced by Ian Goodfellow in 2014 as a way to generate new data that is similar to existing data. The idea behind GANs is to have two neural networks compete against each other in a game-like fashion, with one network generating data and the other network.. 2023. 4. 29. [GAI] Generative AI Basic(6) : What is Variational Autoencoder? Generative AI is an exciting field that has the potential to revolutionize the way we create and interact with digital content. Variational Autoencoders (VAEs) are one of the most popular and widely used techniques in Generative AI. In this post, we will explore what VAEs are and how they work in Generative AI. We will also discuss some of the applications of VAEs in Generative AI. Introduction .. 2023. 4. 24. [GAI] Generative AI Basic(5) : Autoencoders Introduction to Autoencoders Autoencoders are a type of artificial neural network that can learn to encode and decode data. They are often used in unsupervised learning, which means that they can learn from data without being given explicit labels or targets. Autoencoders are composed of an encoder and a decoder, which work together to learn a compressed representation of the input data. The enc.. 2023. 4. 15. [GAI] Generative AI Basic(4) : Generative Models Introduction to Generative Models Generative Models are machine learning models that generate new data by analyzing and learning patterns from existing data. These models can be used to create new images, videos, music, and text based on the data that they have been trained on. In the field of Artificial Intelligence, Generative Models have become increasingly popular due to their ability to cre.. 2023. 4. 10. [GAI] Generative AI Basic(3) : Why is Data the most important factor in Generative AI? Generative AI is a type of artificial intelligence that is designed to generate new content or information. It has been used in various fields such as music, art, and literature, and it has shown great potential in creating unique and innovative content. However, to achieve this level of creativity, Generative AI needs a significant amount of data. In this post, we will discuss why Data is the m.. 2023. 4. 4. 이전 1 2 3 4 다음 반응형