#From Attention in Transformers to Dynamic Routing in Capsule Nets
#CapsuleNet
#Dynamic_Routing
@Machine_learn
https://staff.fnwi.uva.nl/s.abnar/?p=108
#CapsuleNet
#Dynamic_Routing
@Machine_learn
https://staff.fnwi.uva.nl/s.abnar/?p=108
#How to build an image #classifier with greater than #97% accuracy
π€
@Machine_learn
https://medium.freecodecamp.org/how-to-build-the-best-image-classifier-3c72010b3d55
π€
@Machine_learn
https://medium.freecodecamp.org/how-to-build-the-best-image-classifier-3c72010b3d55
freeCodeCamp.org
How to build an image classifier with greater than 97% accuracy
By Anne Bonner A clear and complete blueprint for success How do you teach a computer to look at an image and correctly identify it as a flower? How do you teach a computer to see an image of a flower and then tell you exactly what species of flower...
aece2013.pdf
678.3 KB
#Segmentation of bone structure in X-ray images using #convolutional neural network
#CNN #DL #Xray #image_classification
@Machine_learn
#CNN #DL #Xray #image_classification
@Machine_learn
#Deep Learning Papers Reading Roadmap
#Roadmap
#deeplearning
#papers
@Machine_learn
https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap
#Roadmap
#deeplearning
#papers
@Machine_learn
https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap
GitHub
GitHub - floodsung/Deep-Learning-Papers-Reading-Roadmap: Deep Learning papers reading roadmap for anyone who are eager to learnβ¦
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech! - floodsung/Deep-Learning-Papers-Reading-Roadmap
#Machine learning in scikit-learn
#python library
#tutorial
@machine_learn
https://gaelvaroquaux.github.com/scikit-learn-tutorial/
#python library
#tutorial
@machine_learn
https://gaelvaroquaux.github.com/scikit-learn-tutorial/
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Machine learning method for state preparation and gate synthesis on photonic #quantum_computers
#Paper
@Machine_learn
#Paper
@Machine_learn
zadfd.pdf
6.9 MB
Machine learning method for state preparation and gate synthesis on photonic #quantum_computers
#Paper
@Machine_learn
#Paper
@Machine_learn
Forwarded from Machine learning books and papers (Ramin Mousa)
4_5933734912719847976.pdf
267.3 KB
Introduction to Tensorflow 2.0 | Tensorflow 2.0 Features and Changes
#video
@Machine_learn
https://www.youtube.com/watch?v=3O-5DuqKaRo
#video
@Machine_learn
https://www.youtube.com/watch?v=3O-5DuqKaRo