Wooz Blog

Recommended

Latent Dirichlet Allocation - Part.1

Thu Dec 07 2023

From Seq2Seq to Transformer - Part.2

Sat Oct 07 2023

From Seq2Seq to Transformer - Part.1

Wed Oct 04 2023

Generative AI - Part.2 πŸ€–

Thu Jul 13 2023

Generative AI - Part.1 πŸ€–

Wed Jul 12 2023

KL Divergence πŸ”€

Mon Sep 27 2021

Bayesian Probability 🧩

Sun Sep 26 2021

Vanilla Generative Adversarial Networks (GAN) Review πŸ€–

Fri Sep 24 2021

Recent

Latent Dirichlet Allocation - Part.1

LDA's main function is not dimension reduction but Topic Modeling, and the definition of Topic Modeling, borrowing from the expression in the paper, is as follows
Thu Dec 07 2023

From Seq2Seq to Transformer - Part.2

The transformer model represents another significant leap in the NLP field after the Seq2Seq model and the attention mechanism.
Sat Oct 07 2023

From Seq2Seq to Transformer - Part.1

The attention mechanism was proposed to improve the Seq2Seq model. To understand the attention mechanism well, you must understand the Seq2Seq model.
Wed Oct 04 2023

Generative AI - Part.2 πŸ€–

The learning and generation principles of Diffusion Models, which model multi-layer transformations and inverse transformations between data distribution and noise distribution, share many similarities with Flow Models.
Thu Jul 13 2023

Generative AI - Part.1 πŸ€–

So, on what principle do generative models, the core of generative AI, learn and operate? What does 'generation' mean? In the fields of statistics or machine learning, generation is defined as sampling from a probability distribution in data space, which was not observed or used during the learning process.
Wed Jul 12 2023

How Ray Tracing works Part.1 🌞

Today we'll look at <Ray tracing> the dominant technique used in the graphics industry.
Sun Oct 02 2022

Image Style Transfer (CNN) πŸ–ΌοΈ

Paper Review of Image Style Transfer Using Convolutional Neural Networks.
Sat Jan 29 2022

02. MLOps: Model Monitoring - Weights and Bias πŸ“š

Basics of MLOps using basic vision project.
Sun Jan 23 2022

Physics-based Human Motion Estimation and Synthesis from Videos πŸ€Έβ€β™€οΈ

Paper review of Physics-based Human Motion Estimation and Synthesis from Videos
Wed Jan 19 2022

01. MLOps: Project Settings πŸ’»

Basics of MLOps using basic vision project.
Sun Jan 16 2022

Gradient Descent πŸ”οΈ

Gradient descent method is also called as steepest descent method.
Sat Oct 16 2021

Adaptive Moment Estimation (ADAM) 🌈

ADAM is the use of Gradient Descent with Momentum and RMSProp at the same time.
Sat Oct 09 2021

Linear Regression πŸ“‰

Linear regression is a linear approach for modeling the relationship between a scalar response and one or more explanatory variables.
Sat Oct 09 2021

KL Divergence πŸ”€

KL Divergence (Kullback-Leibler) also known as Relative Entropy is all about the difference between two distributions.
Mon Sep 27 2021

Bayesian Probability 🧩

Bayesian probability is an interpretation of the concept of probability.
Sun Sep 26 2021

Vanilla Generative Adversarial Networks (GAN) Review πŸ€–

Framework for estimating generative models.
Fri Sep 24 2021