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

Sebastian Ruder

JANUARY 19, 2021

More recently, contrastive learning gained popularity in self-supervised representation learning in computer vision and speech ( van den Oord, 2018 ; Hénaff et al., This might indicate why unsupervised contrastive learning has not been successful with large pre-trained models in NLP where data augmentation is less common.

NLP 52

NLP ML Computer Vision Natural Language Processing 52

John Snow Labs

MAY 8, 2024

Model Architecture The architecture of pathology-specific LLMs often incorporates multimodal learning frameworks, integrating NLP with computer vision (CV) to analyze both text and images. These models dive deep into the nuances of pathology data, extracting critical insights that fuel the development of predictive models.

Large Language Models 40

Large Language Models Automation NLP Machine Learning 40