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I feel your pain, I thought it was either a Convolution or a Cellular neural network, was very disappointed. But thanks for pointing to some actual good materia
by molticrystal 9y ago
I feel your pain, I thought it was either a Convolution or a Cellular neural network, was very disappointed. But thanks for pointing to some actual good material to read and look over.
To add to your trend, here is an article [1] about "Texture Classification and Segmentation by Cellular Neural Networks Using Genetic Learning" , texture not text though as they are more vision related, though it would be interesting to see by what methods they could be applied to text.
[1] https://www.researchgate.net/profile/Tamas_Sziranyi/publication/222465158_Texture_Classification_and_Segmentation_by_Cellular_Neural_Networks_Using_Genetic_Learning/links/02e7e524ebe4f5d523000000.pdf https://www.researchgate.net/profile/Tamas_Sziranyi/publicat...
- a_bonobo 9y agoThe Keras blog also has a good post on using CNNs to label text from newsgroups with their respective newsgroups: https://blog.keras.io/using-pre-trained-word-embeddings-in-a-keras-model.html https://blog.keras.io/using-pre-trained-word-embeddings-in-a... It achieves 95% accuracy without many tricks, but the newsgroups themselves are quite different so it's not the hardest problem.