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==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 | Deep learning movies: https://github.com/wendykan/DeepLearningMovies.git | ||
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: | ==Neural Networks== | ||
See [[Tensorflow]] and [[Keras]] pages. | |||
[[Category:ML]] | |||
[[Category:NN]] | |||
[[Category:Math]] | |||
[[Category:Programming]] | |||
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.