PyImageSearch

NOVEMBER 13, 2023

Home Table of Contents Faster R-CNNs Object Detection and Deep Learning Measuring Object Detector Performance From Where Do the Ground-Truth Examples Come? One of the most popular deep learning-based object detection algorithms is the family of R-CNN algorithms, originally introduced by Girshick et al.

Convolutional Neural Networks 118

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 118

Viso.ai

MARCH 12, 2024

Today’s boom in computer vision (CV) started at the beginning of the 21 st century with the breakthrough of deep learning models and convolutional neural networks (CNN). We split them into two categories – classical CV approaches, and papers based on deep-learning. Find the SURF paper here.

Computer Vision 52

Computer Vision Convolutional Neural Networks Neural Network Deep Learning 52

Mlearning.ai

APRIL 8, 2023

2003) “ Support-vector networks ” by Cortes and Vapnik (1995) Significant people : David Blei Corinna Cortes Vladimir Vapnik 4. Deep Learning (Late 2000s — early 2010s) With the evolution of needing to solve more complex and non-linear tasks, The human understanding of how to model for machine learning evolved.

NLP 98

NLP Neural Network Natural Language Processing Convolutional Neural Networks 98

John Snow Labs

MAY 23, 2023

Visual question answering (VQA), an area that intersects the fields of Deep Learning, Natural Language Processing (NLP) and Computer Vision (CV) is garnering a lot of interest in research circles. For visual question answering in Deep Learning using NLP, public datasets play a crucial role. Is aqua the maximum?

Natural Language Processing 40

Natural Language Processing Deep Learning NLP Convolutional Neural Networks 40

Viso.ai

MAY 7, 2024

GoogLeNet, released in 2014, set a new benchmark in object classification and detection through its innovative approach (achieving a top-5 error rate of 6.7%, nearly half the error rate of the previous year’s winner ZFNet with 11.7%) in ImageNet Large Scale Visual Recognition Challenge (ILSVRC).

Explainability 52

Explainability Neural Network Convolutional Neural Networks Deep Learning 52

Viso.ai

DECEMBER 6, 2024

Object Detection with Deep Learning for traffic analytics with a video stream Vehicles can recognize the appearance of the cyclist, pedestrian, or car in front of them thanks to class-specific object detection. Levels of Automation in Vehicles – Source Here we present the development timeline of the autonomous vehicles.

Computer Vision 52

Computer Vision Convolutional Neural Networks Neural Network Deep Learning 52

Viso.ai

JUNE 19, 2024

AlphaPose is a multi-person pose estimation model that uses computer vision and deep learning techniques to detect and predict human poses from images and videos in real time. History of Pose Estimation Before the start of deep learning, pose estimation relied on manual techniques, where humans did a lot of work.

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Deep Learning 52

ML Review

JUNE 4, 2018

Image captioning (circa 2014) Image captioning research has been around for a number of years, but the efficacy of techniques was limited, and they generally weren’t robust enough to handle the real world. However, in 2014 a number of high-profile AI labs began to release new approaches leveraging deep learning to improve performance.

Neural Network 52

Neural Network Convolutional Neural Networks Computer Vision Deep Learning 52

Dlabs.ai

NOVEMBER 16, 2020

Suguard is an internal project we’ve been developing since 2014, which is when we founded DiabetesLab : our second company focused on creating advanced software that helps people manage an illness using AI. The technology uses convolutional neural networks to indicate likely issues on a patient’s retina, boasting accuracy levels of 92.3%

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Convolutional Neural Networks Neural Network 52

Viso.ai

JULY 17, 2024

Image analogies patch-based texture in-filling for artistic rendering – source The field of Neural style transfer took a completely new turn with Deep Learning. With deep learning, the results were impressively good. Here is the journey of NST. Gatys et al. 2015) The research paper by Leon A.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 52

Viso.ai

MAY 31, 2024

Our software helps several leading organizations start with computer vision and implement deep learning models efficiently with minimal overhead for various downstream tasks. provides a robust end-to-end computer vision infrastructure – Viso Suite. Get a demo here.

Computer Vision 52

Computer Vision Convolutional Neural Networks Deep Learning Neural Network 52

Lexalytics

APRIL 5, 2021

They were not wrong: the results they found about the limitations of perceptrons still apply even to the more sophisticated deep-learning networks of today. This book effectively killed off interest in neural networks at that time, and Rosenblatt, who died shortly thereafter in a boating accident, was unable to defend his ideas.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing BERT 52

Mlearning.ai

JUNE 16, 2023

The common practice for developing deep learning models for image-related tasks leveraged the “transfer learning” approach with ImageNet. Practitioners first trained a Convolutional Neural Network (CNN) to perform image classification on ImageNet (i.e. February 23, 2014. pre-training). fine-tuning).

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision AI AI 52

Viso.ai

DECEMBER 6, 2023

Our solution enables leading companies to use a variety of machine learning models and tasks for their computer vision systems. The most common example is security analytics , where deep learning models analyze CCTV footage to detect theft, traffic violations, or intrusions in real-time. Get a demo here.

Computer Vision 52

Computer Vision Convolutional Neural Networks Neural Network Categorization 52

Viso.ai

JULY 9, 2024

StyleGAN is GAN (Generative Adversarial Network), a Deep Learning (DL) model, that has been around for some time, developed by a team of researchers including Ian Goodfellow in 2014. Since the development of GANs, the world saw several models introduced every year that got nearer to generating real images.

Explainability 52

Explainability Computer Vision Convolutional Neural Networks Neural Network 52

deepsense.ai

MAY 7, 2023

We talked about diffusion in deep learning, models that utilize it to generate images, and several ways of fine-tuning it to customize your generative model. All of that can leave even the toughest deep-learning practitioner confused. 2022 [link] Going deeper with convolutions , Szegedy et al. But don’t worry!

Neural Network 52

Neural Network Convolutional Neural Networks Explainability Deep Learning 52

Mlearning.ai

JUNE 8, 2023

Images can be embedded using models such as convolutional neural networks (CNNs) , Examples of CNNs include VGG , and Inception. Doc2Vec: introduced in 2014, adds on to the Word2Vec model by introducing another ‘paragraph vector’. using its Spectrogram ).

Machine Learning 52

Machine Learning BERT Neural Network Convolutional Neural Networks 52

ML Review

MAY 3, 2018

Much the same way we iterate, link and update concepts through whatever modality of input our brain takes — multi-modal approaches in deep learning are coming to the fore. While an oversimplification, the generalisability of current deep learning approaches is impressive.

Neural Network 52

Neural Network Computer Vision Deep Learning NLP 52

Heartbeat

APRIL 18, 2023

The VGG model The VGG ( Visual Geometry Group ) model is a deep convolutional neural network architecture for image recognition tasks. It was introduced in 2014 by a group of researchers (A. Zisserman and K. Simonyan) from the University of Oxford. Feel free to check out the full notebook here.

Convolutional Neural Networks 52

Convolutional Neural Networks Deep Learning Neural Network Machine Learning 52

Marek Rei

JANUARY 17, 2018

Neural activity by brain region, from Wehbe et al. Variational Neural Machine Translation Biao Zhang, Deyi Xiong, Jinsong Su, Hong Duan, Min Zhang. link] They start with the neural machine translation model using alignment, by Bahdanau et al. 2014), and add an extra variational component. 2014), used in this work.

Machine Learning 40

Machine Learning NLP Neural Network Convolutional Neural Networks 40

NLP People

JULY 24, 2019

The rise of NLP in the past decades is backed by a couple of global developments – the universal hype around AI, exponential advances in the field of Deep Learning and an ever-increasing quantity of available text data. This is especially relevant for the advanced, complex algorithms of the Deep Learning family.

NLP 52

NLP Neural Network Deep Learning Natural Language Processing 52

Viso.ai

DECEMBER 21, 2023

From the development of sophisticated object detection algorithms to the rise of convolutional neural networks (CNNs) for image classification to innovations in facial recognition technology, applications of computer vision are transforming entire industries. Thus, positioning him as one of the top AI influencers in the world.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 52