Benutzer:MovGP0/Tensorflow

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Usage Algorithm
  • Trend Prediction
  • Curve fitting
  • Relationship between variables
Linear Regression
  • classify data in 2 Categories
  • finding the best way to split a dataset
Logistic Regression
  • classifying data into multiple categories
Softmax Regression
  • reveal hidden causes of observations
  • finding the most likely cause for a series of outcomes
Hidden Markov
  • classify data into a fixed number of categories
  • automatically partition data into separate classes
K-Means Clustering
  • cluster data into arbitrary categories
  • visualize high-dimensional data into a lower-dimensional embedding
Self-Organizing Map
  • reduce dimensionality of data
  • learn latent variables responsible for high-dimensional data
Autoencoder
  • plan actions in an environment using neural networks (reinforcement learning)
Q-policy neural network
  • classify data using supervised neural networks
Perceptron
  • classify real-world images using supervised neuronal networks
Convolutional Neuronal Network
  • produce patterns that match observations using neural networks
Recurrent Neuronal Network
  • predicting natural language responses to natural language queries
Seq2Seq
  • rank items by learning their utility
Ranking
  • TensorFlowSharp. TensorFlow API for .NET languages. In: GitHub. Miguel de Icaza, abgerufen am 14. Mai 2017 (englisch).