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Need Cuda-convnet experts to help with CUDA implementation of convolutional neural networks?  Hire Experfy freelance Cuda-convnet experts capable of efficient implementation of convolution in CUDA. Its modular design makes it easy to add new layer types, neuron activation functions, or objectives when you need them. Our Cuda-convnet experts can write python scripts to probe the mind of your neural net, train on one batch of data while simultaneously loading the next from disk or pre-processing it in some way, if necessary, and numerically test gradient computations for correctness. They can also build a sobel edge detection filter by using CUDA to implement the algorithm of sobel and write the code in C, and implement sense and grappa algorithms in c++ and Cuda. Further, our Cuda-convnet experts can develop simple desktop apps, install and uninstall using nvidia Cuda to process and render from a data API.

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