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uses word2vec and bag of words model for sentiment analysis (classification: positive or negative)
uses word2vec and bag of words model for sentiment analysis (classification: positive or negative)


[[Category:Machine Learning]]
==Neural Networks==
[[Category:Mathematics]]
 
See [[Tensorflow]] and [[Keras]] pages.
 
[[Category:ML]]
[[Category:NN]]
[[Category:Math]]
[[Category:Programming]]
[[Category:Programming]]
[[Category:Deep Learning]]

Latest revision as of 07:02, 25 April 2017

Images

Excellent tutorial on image recognition from Tensorflow: https://www.tensorflow.org/tutorials/image_recognition

Handwriting (MNIST)

Excellent introduction to using deep learning neural networks to classify handwritten digits using the MNIST data set: http://neuralnetworksanddeeplearning.com/chap1.html

Language

Deep learning movies: https://github.com/wendykan/DeepLearningMovies.git

uses word2vec and bag of words model for sentiment analysis (classification: positive or negative)

Neural Networks

See Tensorflow and Keras pages.