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[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.

submitted by /u/MagicElyas
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.