TensorFlow   5185

« earlier    

Tensorflow Object Detection API @ GITHUB
Creating accurate machine learning models capable of localizing and identifying multiple objects in a single image remains a core challenge in computer vision. The TensorFlow Object Detection API is an open source framework built on top of TensorFlow that makes it easy to construct, train and deploy object detection models. At Google we’ve certainly found this codebase to be useful for our computer vision needs, and we hope that you will as well.
github  tensorflow  google  objectrecognition  recognition  imageprocessing  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
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 
2 days ago by cyberchucktx
[1805.08166] Learning to Optimize Tensor Programs
We introduce a learning-based framework to optimize tensor programs for deep learning workloads. Efficient implementations of tensor operators, such as matrix multiplication and high dimensional convolution, are key enablers of effective deep learning systems.
tensorflow  machinelearning  optimization 
2 days ago by peterb
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 
2 days ago by leninworld

« earlier    

related tags

@blog  advice  ai-ml  ai  archive  arghh  armpl  artificialintelligence  artiicle  aughh  benchmark  blog  boosting  camera  chatbot  class  code  collab  compiler  computer-vision  control-flow  cool  course  coursera  courses  cv  datascience  debugger  declarative  deep-learning  deep_learning  deeplearning  django  dl  dog  eager  example  feature-detection  flask  folders  free  gcp  github  glitch  google-io  google  gradient  hackaday  how-to  ifttt  image-recognition  imageprocessing  index  introduction  javascript  js  jupyter  keras  kubernetes  launcher  learning  lectures  loading  machine-learning  machine  machine_learning  machinelearning  ml  mustdo  neural-networks  neuralnetwork  neuralnetworks  notebook  numpy  object-detection  objectrecognition  optimization  overview  photography  pinboard  pose-estimation  pose  primer  production  profling  programming  project  python  pytorch  raspberrry-pi  raspberrypi  recognition  reinforcement-learning  reinforcement  rpi  ruby  salesforce  script  sensors  seq2seq  series  solution  spark  speech  spiral  streamwerks  style-transfer  summariser  summarization  summarizer  swift  tacotron  tdlm  tensor  tensorboard  tensorflow  tools  topic-modeling  tutorial  twitter  uber  vespa  video  wavenet  webassembly  webdev  work  xgboost 

Copy this bookmark: