Unite.AI

AUGUST 29, 2023

It would be safe to say that TinyML is an amalgamation of software, hardware, and algorithms that work in sync with each other to deliver the desired performance. Finally, applications & systems built on the TinyML algorithm must have the support of new algorithms that need low memory sized models to avoid high memory consumption.

Neural Network 246

Neural Network ML Algorithm Auto-classification 246

Becoming Human

MARCH 16, 2023

This post includes the fundamentals of graphs, combining graphs and deep learning, and an overview of Graph Neural Networks and their applications. Through the next series of this post here , I will try to make an implementation of Graph Convolutional Neural Network. So, let’s get started! What are Graphs?

Neural Network 87

Neural Network Auto-classification Convolutional Neural Networks Auto-complete 87

Dlabs.ai

JUNE 11, 2019

To train a computer algorithm when you don’t have any data. You can create synthetic data that acts just like real data – and so allows you to train a deep learning algorithm to solve your business problem, leaving your sensitive data with its sense of privacy, intact. Say, you want to auto-detect headers in a document.

Deep Learning 52

Deep Learning Algorithm Convolutional Neural Networks Neural Network 52

Google Research AI blog

JANUARY 18, 2023

Over the next several weeks, we will discuss novel developments in research topics ranging from responsible AI to algorithms and computer systems to science, health and robotics. The neural network perceives an image, and generates a sequence of tokens for each object, which correspond to bounding boxes and class labels.

Computer Vision 132

Computer Vision Auto-classification Large Language Models Neural Network 132

Viso.ai

DECEMBER 3, 2023

This article will explore the latest advances in pose analytics algorithms and AI vision techniques, their applications and use cases, and their limitations. Today, the most powerful image processing models are based on convolutional neural networks (CNNs). Definition: What is pose estimation?

Deep Learning 98

Deep Learning Computer Vision Neural Network Robotics 98

AWS Machine Learning Blog

JANUARY 31, 2024

Given the expansive realm of image forgery detection, we use the Error Level Analysis (ELA) algorithm as an illustrative method for detecting forgeries. Specifically, the JPEG algorithm operates on an 8×8 pixel grid. The VGG-16 consists of 13 convolutional layers and three fully connected layers.

Computer Vision 121

Computer Vision Auto-complete Deep Learning Auto-classification 121