Unite.AI

DECEMBER 19, 2023

DL is built on a neural network and uses its “brain” to continuously train itself on raw data. Once the repository is ready, we build datasets using all file types with malicious and benign classifications along with other metadata. This data is continually learning on its own without our input.

Neural Network 147

Neural Network Deep Learning ML Metadata 147

The MLOps Blog

APRIL 20, 2023

Learn more → Best MLOps Tools For Your Computer Vision Project Pipeline → Building MLOps Pipeline for Computer Vision: Image Classification Task [Tutorial] Fine-tuning Model fine-tuning and Transfer Learning have become essential techniques in my workflow when working with CV models. to prevent performance bottlenecks.

Computer Vision 64

Computer Vision Auto-classification Neural Network Convolutional Neural Networks 64

John Snow Labs

JUNE 27, 2023

At their core, LLMs are built upon deep neural networks, enabling them to process vast amounts of text and learn complex patterns. They employ a technique known as unsupervised learning, where they extract knowledge from unlabelled text data, making them incredibly versatile and adaptable to various NLP tasks.

Large Language Models 52

Large Language Models BERT Natural Language Processing NLP 52