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View Code? Open in Web Editor NEWNeural Network library customizable written in C. Threads implementations in both forward and backward propagation.
License: Other
Neural Network library customizable written in C. Threads implementations in both forward and backward propagation.
License: Other
Connection from a neuron to another could be done by a separate entity which contains the weights values and info about input and output neuron id.
Weights can raise values cannot be stored in a double type. Need to check, during backpropagation, their values to not overflow the type updating them.
The number of threads is too high due to strict correlation with number of neurons in each layer.
This behavior cause system latency with networks with high number of neurons.
Implement a function to allow clone an already existing network.
This function should allow you to join two already built networks, linking the output of the first one with the input of the other one.
Add function to execute pruning on network.
This function should be able to remove weights based on threshold percentage ( considering other weights on the same layer ) or a fixed value.
Get the inputs data from a CSV, maybe with targets too.
This function should be able to load inputs from a row and column chosen.
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