#Introduction To Machine Learning
classification and clustering
#slide
#Author:@Raminmousa
@Machine_learn
classification and clustering
#slide
#Author:@Raminmousa
@Machine_learn
4_5958677913816532007.pdf
871.1 KB
#Introduction To Machine Learning
classification and clustering
#slide
#Author:@Raminmousa
@Machine_learn
classification and clustering
#slide
#Author:@Raminmousa
@Machine_learn
#Sentiment Analysis approaches
#single domain and multi-domain
#slide
#Author:@Raminmousa
@Machine_learn
#single domain and multi-domain
#slide
#Author:@Raminmousa
@Machine_learn
4_5940787291969553419.pdf
220.2 KB
#Sentiment Analysis approaches
#single domain and multi-domain
#slide
#Author:@Raminmousa
@Machine_learn
#single domain and multi-domain
#slide
#Author:@Raminmousa
@Machine_learn
#A Gentle Introduction to Computer Vision
#CV
@Machine_learn
https://machinelearningmastery.com/what-is-computer-vision/
#CV
@Machine_learn
https://machinelearningmastery.com/what-is-computer-vision/
#Hot topic for project, thesis, and research – Machine Learning
#thesis #research #DL
@Machine_learn
https://www.techsparks.co.in/hot-topic-for-project-and-thesis-machine-learning/
#thesis #research #DL
@Machine_learn
https://www.techsparks.co.in/hot-topic-for-project-and-thesis-machine-learning/
#Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to #Deep Learning
#book
@Machine_learn
#book
@Machine_learn
2_5442696107836572319.pdf
3.4 MB
#Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to #Deep Learning
#book
@Machine_learn
#book
@Machine_learn
#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
🤔
@Machine_learn
https://medium.freecodecamp.org/how-to-build-the-best-image-classifier-3c72010b3d55
🤔
@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 learn…
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/