[R] Change the weights of a NN while training without using the conventional algorithms
I am currently starting a research project where I want to use evolutionary algorithms to update the weights in a multilayer perceptron during the training process. I have started with keras, but after realising that i could not do it, I moved to pure tensorflow, but I am still failing at this task. I am trying to update my weights using simmulated annealing and genetic algorithms if it help you to help me. The solution may be away from tensorflow and python but i don’t care. I need it to work as soon as possible.