For the Javascript demo of Mixture Density Networks, here is the link. Update: A more comprehensive write-up about MDNs implemented with TensorFlow here While I was going through Grave’s paper on artificial handwriting generation, I noticed that his model is not setup to predict the next location of the pen, but trained to generate a probability distribution of what happens next to the pen, includ
Many authors of papers I read affirm SVMs is superior technique to face their regression/classification problem, aware that they couldn't get similar results through NNs. Often the comparison states that SVMs, instead of NNs, Have a strong founding theory Reach the global optimum due to quadratic programming Have no issue for choosing a proper number of parameters Are less prone to overfitting Nee
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