deeplearning   11741

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MXNet: A Scalable Deep Learning Framework
A flexible and efficient library for deep learning
deeplearning  ml 
20 hours ago by tobym
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It is a generic approach for Historical Document Processing.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…)
image  extraction  tools  deeplearning 
yesterday by rybesh
Real Time Object Recognition with OpenCV
In this tutorial, we are going to build an application which is going to be able to recognize certain objects. [Good discussion of CNNs (Convolutional Neural Networks].
opencv  opensource  deeplearning  objectrecognition  recognition  streamwerks  neuralnetwork 
yesterday by cyberchucktx
Using TensorFlow To Recognize Your Own Objects | Hackaday
When the time comes to add an object recognizer to your hack, all you need do is choose from many of the available ones and retrain it for your particular objects of interest. To help with that, [Edje Electronics] has put together a step-by-step guide to using TensorFlow to retrain Google’s Inception object recognizer.
hackaday  imageprocessing  deeplearning  tensorflow  google  artificialintelligence  streamwerks 
yesterday by cyberchucktx
Easy TensorFlow - Home
Learn Tensorflow like shelling peas!
Our mission is to help you master programming in Tensorflow
step by step, with simple tutorials, and from A to Z
 
tutorial  machinelearning  deeplearning  neuralnetworks  tensorflow 
yesterday by areich
Twitter
RT : This AI can play it by ear! Hear how Facebook researchers used and to translate Elvis a…
deeplearning  GPUs  from twitter_favs
2 days ago by neuralmarket
Apple and Its Rivals Bet Their Futures on These Men’s Dreams - Bloomberg
We discover the world around us by ourselves. A 2-year-old has intuitive notions of physics, gravity, pressure, and so on, and her parents never need to tell her about Isaac Newton’s equations for force and gravity. We interact with the world, observe, and somehow build a mental model of how things will unfold in the future, if we do this or that.
We’re moving into a new phase of research into unsupervised learning, which connects with the work on reinforcement. We’re not just observing the world, but we’re acting in the world and then using the effect of those actions to figure out how it works.
ai  ml  deeplearning  history  culture  trend 
2 days ago by euler
Machine Learning Crash Course  |  Google Developers
A self-study guide for aspiring machine learning practitioners
Machine Learning Crash Course features a series of lessons with video lectures, real-world case studies, and hands-on practice exercises.
machinelearning  google  ai  tensorflow  deeplearning  artificialintelligence  tensor 
3 days ago by cyberchucktx
302 Found
Ever wonder why most chatbots lack conversational context? How is this possible given the importance of context in nearly all conversations?
Archive  chatbot  code  deeplearning  TensorFlow 
3 days ago by leninworld

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