@dhawal04 wrote:
Hi,
I am new Machine Learning, I would be grateful if someone could help me out. I have read few docs on Neural Nets. I am supposed to design a classification model which is character recognizer. I know that we can train using the cnn and ANN by images. But, I am asked to do an online handwritten character recognition system which has a sequence of (x,y) coordinates which are fetched (time context). I did some preprocessing like normalization, interpolation and smoothing and slant correction and extracted few features like first and second order derivatives at each point and the change in curvature.How am I supposed to feed them to the Neural Net, Some suggested using RNN. Can anyone give me a sample code snippet to use RNN for taking in the sequence of data but classifying it one class? Should I use some other kind of Neural Net?
Thanks in advance.
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