Viso.ai

DECEMBER 19, 2023

Image Classification Using Machine Learning CNN Image Classification (Deep Learning) Example applications of Image Classification Let’s dive deep into it! It uses AI-based deep learning models to analyze images with results that for specific tasks already surpass human-level accuracy (for example, in face recognition ).

Convolutional Neural Networks 98

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 98

Unite.AI

MAY 29, 2024

With nine times the speed of the Nvidia A100, these GPUs excel in handling deep learning workloads. Named Entity Recognition ( NER) Named entity recognition (NER), an NLP technique, identifies and categorizes key information in text. Subsequently, some RNNs were also trained using GPUs, though they did not yield good results.

Data Extraction 273

Data Extraction Neural Network Large Language Models NLP 273

Viso.ai

FEBRUARY 11, 2024

It is a technique used in computer vision to identify and categorize the main content (objects) in a photo or video. Image classification employs AI-based deep learning models to analyze images and perform object recognition, as well as a human operator. After fine-tuning on ImageNet-2012 it gave an error rate of 16.6%.

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Deep Learning 52

Viso.ai

FEBRUARY 19, 2024

CV algorithms can accurately categorize documents by analyzing document characteristics including structures, layout, and formatting. applied deep learning R-CNN for document classification and clustering. 2020) applied an image copy detection scheme based on the deep learning Inception CNN model.

Computer Vision 52

Computer Vision Deep Learning Convolutional Neural Networks Neural Network 52

Heartbeat

AUGUST 21, 2023

AlexNet is a more profound and complex CNN architecture developed by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton in 2012. AlexNet was created to categorize photos in the ImageNet dataset, which contains approximately 1 million images divided into 1,000 categories. We pay our contributors, and we don’t sell ads.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Natural Language Processing Deep Learning 52

AWS Machine Learning Blog

OCTOBER 11, 2024

Content categorization – Metadata can provide information about the content or category of a document, such as the subject matter, domain, or topic. These identifiers can be used to uniquely reference and retrieve specific documents from the vector data store.

Metadata 101

Metadata Generative AI LLM Data Ingestion 101

Marktechpost

JULY 17, 2023

What Relationship Exists Between Predictive Analytics, Deep Learning, and Artificial Intelligence? For machine learning to identify common patterns, large datasets must be processed. Deep learning is a branch of machine learning frequently used with text, audio, visual, or photographic data.

Data Mining 97

Data Mining Machine Learning Data Scientist Artificial Intelligence 97