neural   3228

« earlier    

AI for Everyone: Google's AIY Neural Net Kits Go Mainstream Retail | Make:
"the Vision kit, powered by an Intel Movidius-equipped expansion Hat, will identify objects in its camera’s view. It does all its processing on-board."
neural  AI  embedded  electronics 
3 days ago by magnusc
What is dhSegment? | dhSegment
It is a generic approach for Historical Document Processing. It relies on a Convolutional Neural Network to do the heavy lifting of predicting pixelwise characteristics. Then simple image processing operations are provided to extract the components of interest (boxes, polygons, lines, masks, …) via Pocket
analysis  images  manuscripts  neural 
4 days ago by kintopp
GitHub - SeguinBe/DHWorkshop2017: Code for the hands-on of the Computer Vision and Digital Humanities Workshop DHCONF2017
This repository contains the code used for the hands-on session of the "Computer Vision for Digital Humanities" Workshop on the 7th of August during the DHCONF2017. via Pocket
art  demos  images  learn  neural  workshop 
8 days ago by kintopp
Machine Yearning: The Rise of Thoughtful Machines - Artifical Neural Networks
In the mid twentieth century, artificial intelligence researchers invented a new type of computational system that could detect patterns in images – a daunting task for previous technology. Because this new system comprised highly interconnected information-processing nodes, resembling the organization and function of the brain, it became known as an artificial neural network.
neural  networks  thought  ML 
10 days ago by gdw
NSynth: Neural Audio Synthesis
One of the goals of Magenta is to use machine learning to develop new avenues of human expression. And so today we are proud to announce NSynth (Neural Synthesizer), a novel approach to music synthesis designed to aid the creative process.

Unlike a traditional synthesizer which generates audio from hand-designed components like oscillators and wavetables, NSynth uses deep neural networks to generate sounds at the level of individual samples. Learning directly from data, NSynth provides artists with intuitive control over timbre and dynamics and the ability to explore new sounds that would be difficult or impossible to produce with a hand-tuned synthesizer.
google  audio  music  neural  machine-learning  nsynth  magenta 
11 days ago by gdw

« earlier    

related tags

2018  3d  aggregator  ai  algorithm  algorithms  analysis  analytics  andrei  api  approximation  architecture  architectures  art  artificial  artist  audio  autoencoder  automl  backpropagation  bias  bigquery  biology  blockchain  blog:  book  books  bottleneck  brain  carlo  cheap  cheatsheet  chemoinformatics  common  competition  complex  computation  computing  confirmation  contract  coreml  cortex  course  coursera  darwinism  data  decision  deep-learning  deep  deeplearning  demos  dev  discover  discussion  dl  dnn  doodle  education  electronics  embedded  embedding  ethics  evolutionary  excel  expectation  for  forest  future  github  gmdh  google  graph  hamiltonian  hardware  health  howto  hyper  image  images  information  intelligence  interaction  intuitive  ios  ir  javascript  keras  language  learn  learning  library  lstm  machine-learning  machine  machinelearning  magenta  manuscripts  march  matrix  maximization  memory  mimicry  ml  mnist  model  money  monte  music  native  near  net  network  networks  neural-turing-machine  neuro  neuromorphic  news  nlp  nn  nsynth  olfactory  opensource  optimizers  painting  papers  parameter  perception  physics  portal  prize  productivity  pruning  psychology  python  pytorch  react  recognition  recurrent  regularization  repo  representation  research  rnn  science  search  sense  shell  society  software  source  sparse  speech  spiking  spreadsheet  sql  style  synthesis  synthesiser  synthesizer  technology  tensorflow  texts  theory  thought  to  topic  toread  translation  translator  tronto  universal  using  variational  visual  visualization  weekly  width  wolfram  workshop  xor 

Copy this bookmark:



description:


tags: