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I would check Neural Network class on Coursera. Subject is so complex that you need to put time to get anywhere.
by TrainedMonkey 13y ago
I would check Neural Network class on Coursera. Subject is so complex that you need to put time to get anywhere.
- chmike 13y agoWhat is so complex ? Neurons compute a sum of its input. Neurons are connected by synapse. A synapse has a oefficient that weights the input. If the synapse coefficitent is the real value c and the value of the input neuron is i, then The sum will be computed with c*i. One can represent this by vector and matrix multiplication. In the most simple model, this sum is the output. In more sofisticated models the result of the sum is modified by a function with a sigmoid shape. One of these sigmoid function is infinitly derivable. This allows to fit any continuous function with a sum of these sigmoids. Different strategies have been suggested to do the fit. But all these ANN don't explain the biological neural networks found in our cortex.
- TrainedMonkey 13y agoIt is complex as soon as you try to do anything but simplest things with Neural network. What I really liked about Coursera's NN class is theory of how RBM's can be used to model associative memory.
- chmike 13y agoAh yes. I agree. Doing things with these simple neurons is complex. On the other hand a 3 year old kid can sing and dance at the same time. How can it be so complex? ;) It is a fascinating problem which is still lacking an answer.