Viso.ai

APRIL 26, 2024

Object detection systems typically use frameworks like Convolutional Neural Networks (CNNs) and Region-based CNNs (R-CNNs). Concept of Convolutional Neural Networks (CNN) However, in prompt object detection systems, users dynamically direct the model with many tasks it may not have encountered before.

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Natural Language Processing 52

Flipboard

MARCH 27, 2023

Project Structure Accelerating Convolutional Neural Networks Parsing Command Line Arguments and Running a Model Evaluating Convolutional Neural Networks Accelerating Vision Transformers Evaluating Vision Transformers Accelerating BERT Evaluating BERT Miscellaneous Summary Citation Information What’s New in PyTorch 2.0?

Neural Network 117

Neural Network Convolutional Neural Networks BERT Computer Vision 117

Heartbeat

JUNE 6, 2023

GCNs have been successfully applied to many domains, including computer vision and social network analysis. GCNs use a combination of graph-based representations and convolutional neural networks to analyze large amounts of textual data. References Paperwithcode | Graph Convolutional Network Kai, S.,

NLP 59

NLP Convolutional Neural Networks Neural Network Natural Language Processing 59

Pragnakalp

JANUARY 1, 2024

Mistral’s API is designed to seamlessly integrate powerful AI tools into applications, with user-friendly chat interface specifications and available Python and JavaScript client libraries. "} ] Response: The Transformer, a neural network architecture introduced in a 2017 paper by Ashish Vaswani et al.,

Natural Language Processing 52

Natural Language Processing Neural Network Convolutional Neural Networks LLM 52

TensorFlow

MARCH 29, 2023

ZenDNN is purpose-built to help deep learning application and framework developers improve inference performance on AMD EPYC CPUs across an array of workloads, including computer vision, natural language processing, and recommender systems. GNU ID 2.31, Python 3.8.15. LTS version, kernel version 5.4.0-131-generic,

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing Computer Vision 52

DataRobot Blog

MARCH 9, 2022

These embeddings are sometimes trained jointly with the model, but usually additional accuracy can be attained by using pre-trained embeddings such as Word2Vec, GloVe, BERT, or FastText. Stanford – Reading Emotions From Speech Using Deep Neural Networks, a publication.

Machine Learning 52

Machine Learning Neural Network Convolutional Neural Networks Deep Learning 52

Lexalytics

APRIL 5, 2021

While working as an RA in the computer vision group, I had the opportunity to sit in a robotic Humvee as it used Pomerleau’s code to drive around the University of Massachusetts’ stadium.) The CNN was a 6-layer neural net with 132 convolution kernels and (don’t laugh!) Hinton (again!)

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing BERT 52