Pickl AI

JANUARY 26, 2025

Convolutional Neural Networks (CNNs) Convolutional Neural Networks ( CNNs ) are specialised Deep Learning models that process and analyse visual data. Understanding Convolution and Pooling Layers CNNs rely on two key operations: convolution and pooling.

Deep Learning 52

Deep Learning Neural Network Convolutional Neural Networks Natural Language Processing 52

IBM Journey to AI blog

AUGUST 28, 2023

Data extraction Once you’ve assigned numerical values, you will apply one or more text-mining techniques to the structured data to extract insights from social media data. It weighs down frequently occurring words and emphasizes rarer, more informative terms. positive, negative or neutral).

Data Mining 170

Data Mining Convolutional Neural Networks Categorization Machine Learning 170

John Snow Labs

APRIL 30, 2024

Table recognition is a crucial aspect of OCR because it allows for structured data extraction from unstructured sources. By recognizing tables, OCR can convert this data into a format easily manipulatable and analyzable, such as a spreadsheet or a database. Tables often contain valuable information organized systematically.

Deep Learning 52

Deep Learning NLP Convolutional Neural Networks Data Extraction 52

John Snow Labs

MAY 8, 2024

The potential of LLMs, in the field of pathology goes beyond automating data analysis. For instance, convolutional neural networks (CNNs) are used in tandem with transformer-based models to interpret histopathology slides alongside corresponding reports, providing a holistic view of patient data.

Large Language Models 40

Large Language Models Automation NLP Machine Learning 40