I wanted to implement the whole CNN structure on FPGA. so optimized Algorithm is necessary for optimized hardware
You can use matlab to design and optimize your convolutional neural networks.
You can run sufficient experiments to decide for the network parameters which gives you sufficient classification or identification accuracy.
You can make a compromise between accuracy and complexity. You can make your optimization experimentally.
Best wishes
SGD, RMS PROP, AdaGrad
trained on MNIST dataset with TensorFlow.
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