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NeuralWare has offered time-tested and field-proven technology platforms for developing and deploying empirical modeling solutions based on
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neural network is a network of simple elements called artificial neurons, which receive input, change their internal state (activation) according to that input, and produce output depending on the input and activation.. An artificial neuron mimics the working of a biophysical neuron with inputs and outputs, but is not a biological neuron model. With new
neural network architectures popping up every now and then, it’s hard to keep track of them all. Knowing all the abbreviations being thrown around (DCIGN, BiLSTM, DCGAN, anyone?) can be a bit overwhelming at first. So I decided to compose a cheat sheet containing many of those architectures. Most of these are
neural networks, some are completely […]
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neural circuit is a population of neurons interconnected by synapses to carry out a specific function when activated.
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neural networks have inspired the design of artificial
neural networks
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