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Machine Learning Classification

Machine Learning Classification:

  • Supervised Learning
    • Regression
    • Support Vector Machines
    • Decision Trees
    • K Nearest Neighbour
    • Naive Bayes Classifiers
    • Boosting
    • Ensemble Methods
    • Random Forest Trees
    • Neural Networks [video]
      • Multi Layer Perceptron
      • Back Propagation
      • Deep Neural Networks
        • Deep Multi Layer Perceptron
        • Recurrent Neural Networks
        • Convolutional Neural Networks
          • Le-Nets
          • AlexNets
          • VGG
          • Residual Nets
          • Inception Nets
        • Long Short Term Memory
        • Restricted Boltzmann Machines
        • Deep Belief Nets
        • Autoencoders
  • Unsupervised Learning
    • Clustering
      • KMeans
      • DBSCAN
    • Self Organizing Maps
    • Generative adversarial networks (GANs)
  • Reinforcement Learning
    • Q-Learning
    • Value-Based
    • Policy-Based
    • Model-Based
    • Deep Reinforcement Learning

Machine Learning Algorithms:

  • Computer Vision:
    • Object Detection:
      • Object Detection with Sliding Window
      • R-CNN
      • Fast R-CNN
      • Faster R-CNN
      • YOLO (You look only once)
    • Face Recognition:
      • One Shot Learning
      • Siamese Network
      • FaceNet
      • DeepFace
    • Neural Style Transfer
  • Sequential Models:

Machine Learning Libraries and Tools:

  • Scikit Learn: ML library for Python
  • Tensorflow: An open source machine learning framework with Python
  • Pytorch:  is a deep learning framework with Python
  • Caffe: is a deep learning framework
  • Theano:  “is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently”.
  • DeepLearning4j : “Open-Source, Distributed, Deep Learning Library for the JVM”
  • DarkNet: “Open Source Neural Networks in C”

omersezer

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