AWS Machine Learning Blog

JUNE 3, 2024

To find the relationship between a numeric variable (like age or income) and a categorical variable (like gender or education level), we first assign numeric values to the categories in a way that allows them to best predict the numeric variable. Linear categorical to categorical correlation is not supported.

Generative AI 109

Generative AI Categorization Auto-complete Auto-classification 109

Topbots

JUNE 22, 2023

So, to make a viable comparison, I had to: Categorize the dataset scores into Positive , Neutral , or Negative labels. This evaluation assesses how the accuracy (y-axis) changes regarding the threshold (x-axis) for categorizing the numeric Gold-Standard dataset for both models. First, I must be honest. Then, I made a confusion matrix.

Machine Learning 111

Machine Learning ChatGPT Natural Language Processing Categorization 111

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? confidence.

Neural Network 52

Neural Network Machine Learning Deep Learning Explainability 52

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. and model (only 3,235,014 parameters!)

Deep Learning 98

Deep Learning Machine Learning Python Categorization 98

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

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

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