What are Neural Networks?
I can say quite definitively that it is. I work on a Signal recognition controller powered with a NeuroMem® neural network, and we’re working on a close-range, finger and hand gesture recognition and motion tracking software solution.
A. An artificial neural network consists of a large number of simple processing units linked by weighted connections. By analogy, the processing units may be referred to as neurons. Each unit receives inputs from many other units and generates a single output. The output acts as an input for other processing units. The power of a neural network stems from the combination of multiple units in a network. A certain network can be tuned to solve a specific problem by modyfing the connection topology and values of the connecting weights between its units. Neural networks have proven to be among the best methods of detecting hidden relations in stock market data. Once a neural network has analyzed your dataset (i.e. “has received training”), it is able to make predictions based on the hidden dependencies that have been found . Q. Do I need the knowledge in neural networks / programming / statistics / artificial intelligence to effectively use your software? A. The Tradecision interface is ve
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