AssemblyAI

SEPTEMBER 12, 2023

In 2014, Baidu published the paper, Deep Speech: Scaling up end-to-end speech recognition. Video editing platforms (and video editors alike) also need content categorization and content moderation to improve accessibility and search. Video Platforms: Real-time and asynchronous video captioning are industry standard.

Deep Learning 130

Deep Learning Machine Learning Categorization Data Analysis 130

Viso.ai

DECEMBER 3, 2023

Real-time object detection in smart cities for pedestrian detection with different types of objects One-stage vs. two-stage deep learning object detectors As you can see in the list above, state-of-the-art object detection methods can be categorized into two main types: One-stage vs. two-stage object detectors.

Convolutional Neural Networks 98

Convolutional Neural Networks Computer Vision Neural Network Deep Learning 98

Mlearning.ai

MARCH 31, 2023

Getting the Metrics and Loss Functions Since our model must implement two tasks — classification and regression — we need two different Loss Functions : One for the classification task: we may use any Loss Function usually found in only-classification tasks like Categorical Crossentropy.

Deep Learning 98

Deep Learning Machine Learning Python Categorization 98

ML Review

MARCH 31, 2019

In 2014, a group of researchers at Google and NYU found that it was far too easy to fool ConvNets with an imperceivable, but carefully constructed nudge in the input. But by 2014, ConvNets had become powerful enough to start surpassing human accuracy on a number of visual recognition tasks. What are adversarial attacks?

Neural Network 52

Neural Network Machine Learning Deep Learning Explainability 52

Explosion

MAY 17, 2023

In 2014 I started working on spaCy , and here’s an excerpt of how I explained the motivation for the library: Computers don’t understand text. We want to aggregate it, link it, filter it, categorize it, generate it and correct it. We all spend a big part of our working lives writing, reading, speaking and listening.

LLM 135

LLM NLP Large Language Models OpenAI 135

AWS Machine Learning Blog

JANUARY 13, 2023

They were admitted to one of 335 units at 208 hospitals located throughout the US between 2014–2015. We used both numerical and categorical features and grouped all records of each patient to flatten them into a single-record time series. patientunitstayid. unitdischargeoffset. unitdischargestatus.

Machine Learning 88

Machine Learning ML Categorization Deep Learning 88

Heartbeat

APRIL 18, 2023

Human Action Recognition (HAR) is a process of identifying and categorizing human actions from videos or image sequences. It was introduced in 2014 by a group of researchers (A. This is going to be a hands-on tutorial, so I urge you to read and code along, and I will add the link to the code at the end of the article. Zisserman and K.

Convolutional Neural Networks 52

Convolutional Neural Networks Deep Learning Neural Network Machine Learning 52

Viso.ai

DECEMBER 6, 2024

Semantic segmentation performance has improved as a result of more precise and effective pixel-level categorization made possible by convolutional neural networks (CNNs) and autoencoders. 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

Heartbeat

AUGUST 21, 2023

AlexNet was created to categorize photos in the ImageNet dataset, which contains approximately 1 million images divided into 1,000 categories. GoogLeNet: is a highly optimized CNN architecture developed by researchers at Google in 2014. It has eight layers, five of which are convolutional and three fully linked.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Natural Language Processing Deep Learning 52

Viso.ai

DECEMBER 6, 2023

Image Classification Image classification tasks involve CV models categorizing images into user-defined classes for various applications. Based on the presence of a tiger, the entire image is categorized as such. The model secured first and second positions in the ImageNet Large Scale Visual Recognition Challenge (ILSVRC) 2014.

Computer Vision 52

Computer Vision Convolutional Neural Networks Neural Network Categorization 52

Mlearning.ai

FEBRUARY 15, 2023

Introduction In natural language processing, text categorization tasks are common (NLP). Uysal and Gunal, 2014). We use categorical crossentropy for loss along with sigmoid as an activation function for our model Figure 14 Figure 15 shows how we tracked convergence for the neural network. Dönicke, T., Lux, F., & Damaschk, M.

BERT 52

BERT NLP Natural Language Processing Algorithm 52

Viso.ai

JANUARY 2, 2024

VGGNet , introduced by Simonyan and Zisserman in 2014, emphasized the importance of depth in CNN architectures through its 16-19 layer CNN network. Text Processing with CNNs In text processing, CNNs are remarkably efficient, particularly in tasks like sentiment analysis, topic categorization, and language translation.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Computer Vision Data Scarcity 52

Probably Approximately a Scientific Blog

NOVEMBER 23, 2016

It's a Bird, It's a Plane, It's Superman (not antonyms) Many people would categorize a pair of words as opposites if they represent two mutually exclusive options/entities in the world, like male and female. PACLIC 2014. [6] black and white , and tuna and salmon. Saif Mohammad, Bonnie Dorr, Graeme Hirst, and Peter Turney.

NLP 52

NLP Natural Language Processing Categorization 52

PyImageSearch

NOVEMBER 13, 2023

The original Faster R-CNN paper used VGG (Simonyan and Zisserman, 2014) and ZF (Zeiler and Fergus, 2013) as the base networks. We use a pre-trained CNN here as the features learned by a particular layer are often transferrable to classification tasks outside where the original network was trained. 2015 ; He et al., MobileNets ).

Convolutional Neural Networks 118

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 118

Mlearning.ai

FEBRUARY 28, 2023

Year: More than half the cars in the data were manufactured in or after 2014. Before building a model, I have to encode categorical features. The log transformation was applied on this column to reduce skewness. Seats: 84% of the cars in the dataset are 5-seater cars. The price of used cars has increased over the years.

Python 52

Python Data Analysis Explainability Categorization 52

Heartbeat

OCTOBER 9, 2023

AI algorithms can help with automatic artifact recognition, categorization, and analysis, allowing more efficient research and documentation operations. References: Francesco Nex and Fabio Remondino's "Photogrammetry and Remote Sensing with Unmanned Aerial Vehicles" (2014).

Computer Vision 52

Computer Vision Algorithm Deep Learning Machine Learning 52

Artificial Corner

JUNE 6, 2023

These techniques can be applied to a wide range of data types, including numerical data, categorical data, text data, and more. NoSQL databases are often categorized into different types based on their data models and structures. Database: Principles, Programming, and Performance (2nd Edition). Morgan Kaufmann. Morgan Kaufmann.

Data Mining 52

Data Mining Big Data ETL Machine Learning 52

Sebastian Ruder

NOVEMBER 14, 2022

Recent Progress Recent progress in this area can be categorized into two categories: 1) new groups, communities, support structures, and initiatives that have enabled broader work; and 2) high-level research contributions such as new datasets and models that allow others to build on them. Joshi et al. [92] An image in Flickr30k (Young et al.,

Natural Language Processing 52

Natural Language Processing NLP Computational Linguistics BERT 52

Bugra Akyildiz

AUGUST 10, 2024

million per year in 2014 currency) in Shanghai. Paper Documentation DoRA is an implementation of "DoRA: Weight-Decomposed Low-Rank Adaptation" (Liu et al, 2024) [link] Categorical systems theory (CST) is a doubly-categorical framework for approaching and developing structural theories of systems and behavior of any kind.

BERT 59

BERT Large Language Models Categorization Deep Learning 59

AI Impacts

MAY 15, 2024

6 I categorize these laws as dealing with environmental impact statements, air pollution, water pollution, solid waste, toxic substances, or endangered species. Figure 1: Percentages of Democrats and Republicans reporting that national spending on the environment is “Too Little,” 1974-2012. Reprinted from McCright et al.

Categorization 147

Categorization AI AI 147