machine_learning   14171

« earlier    

the rtMRI IPA chart (John Esling)
Click on any of the red-colored speech sounds or utterances below to see their production captured with real-time MRI. The videos comprise 83 frames per second. Each pixel corresponds to a square 2.4 mm wide. The data were collected in June 2015. The speaker is Professor John Esling (University of Victoria).


Click here for more versions of the rtMRI chart.

https://sail.usc.edu/span/rtmri_ipa/index.html
speech  machine_learning  machine_learning_data 
10 hours ago by vsapsai
CVPR 2012 tutorial
Structured Prediction and Learning in Computer Vision
Tutorial  Machine_Learning  Computer_Vision 
11 hours ago by algento
Algorithms for Inference | MIT OpenCourseWare
This is a graduate-level introduction to the principles of statistical inference with probabilistic models defined using graphical representations. The material in this course constitutes a common foundation for work in machine learning, signal processing, artificial intelligence, computer vision, control, and communication. Ultimately, the subject is about teaching you contemporary approaches to, and perspectives on, problems of statistical inference.
MIT  Machine_Learning  Lecture 
11 hours ago by algento
How to Fit Large Neural Networks on the Edge – Heartbeat
Decent overview of techniques for making machine learning algorithms lighter in footprint
machine_learning  iot 
17 hours ago by amcewen
The Kinds of Data Scientist
-- they forgot to include the data scientists that call out snake oil salesmanship and the ones who worry about ethics.
big_data  data_science  statistics  machine_learning 
3 days ago by rvenkat
Google Night Sight review: night vision for the Pixel camera - The Verge
We review Google’s Night Sight camera mode for Pixel phones. This is a new AI-powered night mode that revolutionizes low-light mobile photography.
newswire  google  machine_learning  photography 
3 days ago by kejadlen

« earlier    

related tags

#fake  adanet  ai  algorithm  algorithmic_appeals_court  analyze  architecture  articles  artificial_intelligence  attention  automatic_indexing  automation  azure  big_data  book  books  camera  cheatsheet  classes  classification  collection  computer-vision  computer  computer_vision  consumers  continuous_learning  contract  data-science  data  data_engineering  data_science  datasets  deep-learning  deep_learning  deepfakes  deeplearning  design  digital_ethics  digital_forensics  disinformation  dnn  drafting  earthquakes  economics  ethics_of_algorithms  examples  face_recognition  facialrecognition  forecasting  framework  front-end-dev  funny  gaussian  gcp  generative_adversarial_networks  generativeadversarialnetwork  geometry  google  hnish  homepage  i_remain_skeptical  ifttt  interviews  iot  javascript  jobs  kubeflow  law  learning  lecture  legal  lessons  libraries  list  lstm  machine-learning  machine_learning_data  machine_learning_visualization  machinelearning  marc_lauritsen  market_microstructure  math  mathematics  medicine  metrics  mit  ml/ai  ml  modelinterpretation  music  neural-net  neural_networks  news  newswire  nlp  organize  papers  perceptron  performance  phenomenal_world  philosophy  photography  pipeline  playbook  prediction  programming  psyops  python  pytorch  r  raspberrypi  reddit  regression  rekognition  research  resources  rnn  rnns  semantic_it  sentiment_analysis  speech  statistics  surveillance  teaching  tensorflow  testing  text-classification  text_analysis  timeseries  tools  toread  tr-2018-11  tutorial  university-ad-hoc  video  visualisation  visualization 

Copy this bookmark:



description:


tags: