For example, the human voice frequency is different from each other, if I am an HVV to identify that the human cry, the sound of crying , there should be a pattern between the sound of crying despite the frequency. Therefore, it is looking for an algorithm which can identify these elements. You can start by looking at these types of programs generally in some of the Discrepancies , it provides you with a quick and easy way to build your nervous network. You only have one set of all the data that you want to match. You can use approximately 70% of this data to learn how to cluster your nervous network data and then use the remaining 30% to test your nervous network. The main issue with neural networks is that once you find out how to encode your data into input vectors, try to know the neural network's own differences. Should do
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