Gilles Pagès: Optimal vector Quantization: from signal processing to clustering and ...
Abstract: Optimal vector quantization has been originally introduced in Signal processing as a discretization method of random signals, leading to an optimal trade-off between the speed of transmission and the quality of the transmitted signal. In machine learning, similar methods applied
From playlist Probability and Statistics
This shows an small game that illustrates the concept of a vector. The clip is from the book "Immersive Linear Algebra" at http://www.immersivemath.com
From playlist Chapter 2 - Vectors
Quantization and Coding in A/D Conversion
http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. Real sampling systems use a limited number of bits to represent the samples of the signal, resulting in quantization of the signal amplitude t
From playlist Sampling and Reconstruction of Signals
Math 060 Linear Algebra 06 021216 Vector Spaces
Using the interaction of determinant and elementary matrices to simplify the calculation of the determinant. Introduction to Vector Spaces: definition (vector space axioms); examples of vector spaces; properties of vector spaces (consequences of the axioms)
From playlist Course 4: Linear Algebra
Determine the unit vector given a vector with angle and magnitude
I make short, to-the-point online math tutorials. I struggled with math growing up and have been able to use those experiences to help students improve in math through practical applications and tips. Want my resources? https://www.youtube.com/channel/UCQv3dpUXUWvDFQarHrS5P9A/join If I h
From playlist Vectors
Finding the vector with a given magnitude and direction of another vector
http://www.freemathvideos.com In this video series you will learn multiple math operations. I teach in front of a live classroom showing my students how to solve math problems step by step. My math tutorials should be used to review previous lessons, complete your homework, or study for
From playlist Vectors
This shows an interactive illustration that shows vector subtraction. The clip is from the book "Immersive Linear Algebra" at http://www.immersivemath.com.
From playlist Chapter 2 - Vectors
Linear Algebra for Computer Scientists. 1. Introducing Vectors
This computer science video is one of a series on linear algebra for computer scientists. This video introduces the concept of a vector. A vector is essentially a list of numbers that can be represented with an array or a function. Vectors are used for data analysis in a wide range of f
From playlist Linear Algebra for Computer Scientists
How to find the vector with given magnitude and same direction of another vector
http://www.freemathvideos.com In this video series you will learn multiple math operations. I teach in front of a live classroom showing my students how to solve math problems step by step. My math tutorials should be used to review previous lessons, complete your homework, or study for
From playlist Vectors
Understand Vector-Quantized Variational Autoencoder (VQ-VAE) for Image Generation #stablediffusion
Vector-Quantized Variational Autoencoder (VQ-VAE) for Image Generation explained in Detail. The main component of DALL-E of 2020. On the road to DIFFUSION for text-to-video. Generative AI. 3 videos before this video: https://youtu.be/onuIy6PC1ic https://youtu.be/BHzU-jq-AcM https://youtu.
From playlist Stable Diffusion / Latent Diffusion models for Text-to-Image AI
QED Prerequisites: Field Equations - Conventions
In this lesson we lay down the notation conventions used for our introduction to the two key field equations used in elementary QED: the Klein-Gordon Equation and the Dirac Equation. These subjects are often taught at the beginning of a QED course, but we will treat them as pre-requisite c
From playlist QED- Prerequisite Topics
[Word2Bits] Quantized Word Vectors | AISC
Toronto Deep Learning Series, 30 April 2018 https://tdls.a-i.science/events/2018-04-30/ Paper Review: https://arxiv.org/abs/1803.05651 Speaker: https://www.linkedin.com/in/taraneh-khazaei/ Organizer: https://www.linkedin.com/in/amirfz/ Host: Microsoft Canada
From playlist Natural Language Processing
Composite Indexes and the Faiss Index Factory
In the world of vector search, there are many indexing methods and vector processing techniques that allow us to prioritize between recall, latency, and memory usage. Using specific methods such as IVF, PQ, or HNSW, we can often return good results. But for best performance we will usuall
From playlist Vector Similarity Search and Faiss Course
High Fidelity Neural Audio Compression | Paper & Code Explained
❤️ Become The AI Epiphany Patreon ❤️ https://www.patreon.com/theaiepiphany 👨👩👧👦 Join our Discord community 👨👩👧👦 https://discord.gg/peBrCpheKE In this video I cover the "High Fidelity Neural Audio Compression" paper and code. With 6 kbps they already get the same audio quality (as
From playlist Coding Videos
Unlock the Power of Embeddings with Vector Search | Future of Data & AI | Data Science Dojo
The total amount of digital data generated worldwide is increasing at a rapid rate. Simultaneously, approximately 80% (and growing) of this newly generated data is unstructured data – data that does not conform to a table- or object-based model. Examples of unstructured data include tex
From playlist Future of Data and AI: Tutorials
Transformer Neural Net makes music! (JukeboxAI)
JukeboxAI can generate music in the voice of any artist with any style. Please subscribe to keep me alive: https://www.youtube.com/c/CodeEmporium?sub_confirmation=1 SPONSOR Kite is a free AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates w
From playlist Deep Learning Research Papers
Best Indexes for Similarity Search in Faiss
In the world of vector search, there are many indexing methods and vector processing techniques that allow us to prioritize between recall, latency, and memory usage. Using specific methods such as IVF, PQ, or HNSW, we can often return good results. But for best performance we will usuall
From playlist Vector Similarity Search and Faiss Course
Vector Quantized Generative Adversarial Networks (VQGAN) is a generative model for image modeling. It was introduced in Taming Transformers for High-Resolution Image Synthesis. The concept is build upon two stages. The first stage learns in an autoencoder-like fashion by encoding images in
From playlist Paper Explanations
Product Quantization for Vector Similarity Search (+ Python)
Vector similarity search can require huge amounts of memory. Indexes containing 1M dense vectors (a small dataset in today’s world) will often require several GBs of memory to store. When building recommendation systems or semantic search engines, this is not acceptable. The problem of ex
From playlist Vector Similarity Search and Faiss Course
Ex: Find the Velocity and Acceleration Vector Given the Position Vector Valued Function
This video explains how to determine a velocity and acceleration vector at a given value of t given the position vector valued function. The speed is also found. Site: http://mathispower4u.com
From playlist Vector Valued Functions