Neural Network Projects with Python

Representing words as vectors

So far, we have looked at what RNNs and LSTM networks represent. There remains an important question we need to address: how do we represent words as input data for our neural network? In the case of CNNs, we saw how images are essentially three-dimensional vectors/matrixes, with dimensions represented by the image width, height, and the number of channels (three channels for color images). The values in the vectors represent the intensity of each individual pixel.