Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing.
⏰ AI conference deadline countdowns
Firefox Translations is a webextension that enables client side translations for web browsers.
Deep Neural Network Library for JavaScript.
🍃 Using a Neural Network to improve web accessibility in JavaScript.
Season 2 of @twosigma's artificial intelligence programming challenge
The Cutest Deep Learning Framework which is also a wonderful Declarative Language
LabelD is a quick and easy-to-use image annotation tool, built for academics, data scientists, and software engineers to enable single track or distributed image tagging. LabelD supports both localized, in-image (multi-)tagging, as well as image categorization.
A minimalist deep learning library in Javascript using WebGL + asm.js. Run convolutional neural network in your browser.
Face Recognition SDK Javascript using ONNX Runtime Web and OpenCV.js (Face Detection, Face Landmarks, Face Liveness, Face Pose, Face Expression, Eye Closeness, Age, Gender and Face Recognition)
CAlculation of NMR Chemical Shifts using Deep LEarning
Network Assembler is a simple way to create neural networks in Keras
REPO MOVED TO https://repetere.github.io/jsonstack-model - Deep Learning Classification, Clustering, LSTM Time Series and Regression with Tensorflow
🏙 Interactive in-editor performance profiling, visualization, and debugging for PyTorch neural networks.
Recognize Digits using Deep Neural Networks in Google Chrome live!
Predicts COVID-19 from PA view of X-ray when submitted on the website
🍃 Using a Neural Network to recognize MNIST digets in JavaScript.
Audio De-Noiser using a Convolutional Neural Network Architecture built with Tensorflow.js
System that learns how often a room is occupied based on time, movement, air conditioning preferences and learns on historic data. This can have a significant impact on the energy use around a house/building.
for the momery of ZheLi
Simplified Multi-Layer Neural Network for JavaScript.