Recurrent Neural Network Vs Feedforward Neural Network Training Ppt
This slide provides information about a Recurrent Neural Network and a Feedforward Neural Network. RNNs work on the concept of preserving a layers output and feeding it back into the input to estimate the layers output. The outputs are cycled back in as inputs after a certain number of cycles. Information flows solely in one direction in a feedforward network, from the input nodes, through the hidden layers, and finally to the output nodes.
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