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. 2011 – A good ILSVRC image classification error rate is 25%.

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Deep Learning 52

John Snow Labs

DECEMBER 26, 2023

On the other hand, Sentiment analysis is a method for automatically identifying, extracting, and categorizing subjective information from textual data. Learning Word Vectors for Sentiment Analysis. The 49th Annual Meeting of the Association for Computational Linguistics (ACL 2011). abs/2005.03993 Andrew L. Maas, Raymond E.

Neural Network 52

Neural Network Computational Linguistics NLP Natural Language Processing 52

Mlearning.ai

JULY 30, 2023

With most ML use cases moving to deep learning, models’ opacity has increased significantly. Next, there are categorical features, usually represented as small one-hot vectors. fall under categorical features. Most feature-importance algorithms deal very well with dense and categorical features. 2825–2830, 2011.

Python 52

Python Categorization Machine Learning Explainability 52

AWS Machine Learning Blog

APRIL 6, 2023

These features include product fabrication techniques and other related categorical information related to the products. For example, in the 2019 WAPE value, we trained our model using sales data between 2011–2018 and predicted sales values for the next 12 months (2019 sale). We next calculated the MAPE for the actual sales values.

Machine Learning 86

Machine Learning ML Categorization Data Scientist 86

Heartbeat

OCTOBER 9, 2023

Artificial Intelligence (AI) Integration: AI techniques, including machine learning and deep learning, will be combined with computer vision to improve the protection and understanding of cultural assets. Preservation of cultural heritage and natural history through game-based learning. Ahmad, M., & Selviandro, N.

Computer Vision 52

Computer Vision Algorithm Deep Learning Machine Learning 52

Viso.ai

FEBRUARY 28, 2023

Because machine learning is essential in computer vision, OpenCV contains a complete, general-purpose ML Library focused on statistical pattern recognition and clustering. Since 2011, OpenCV provides functionality for NVIDIA CUDA and Graphic Processing Unit (GPU) hardware acceleration and Open Computing Language (OpenCL).

Computer Vision 52

Computer Vision Algorithm Automation Deep Learning 52

Sebastian Ruder

NOVEMBER 14, 2022

This post is partially based on a keynote I gave at the Deep Learning Indaba 2022. Bender [2] highlighted the need for language independence in 2011. The Deep Learning Indaba 2022 in Tunesia. I've tried to cover as many contributions as possible but undoubtedly missed relevant work. Joshi et al. [92]

Natural Language Processing 52

Natural Language Processing NLP Computational Linguistics BERT 52