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As discussed on our last blog article, Recurrent Neural Networks take as their input not just the current input example they see, but also what they perceived one or more steps back in time. Those previous time steps provide context for the current time step’s data. So RNNs analyse a representation of the current data,… Read More


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As we discussed in our previous blog post, an Artificial Neural Network (ANN), usually called “neural nets” (NNs), is a learning algorithm that is inspired by Biological Neural Networks within our human brains and central nervous-systems. Modern day computations especially those involving Machine Learning for the sake of developing Artificial Intelligence are mostly structured in… Read More