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Go language supports deep learning and neural networks using the framework Gorgonia. The framework works like similar frameworks, for example, Tensorflow, allowing the creation of graphs of operations and tensors. The programming is a little low level, because we have to create the graphs containing the operations and the tensors, so there is no concept of neuron or layers, which exists in other frameworks. In this post, I will show a basic example of MLP - Multilayer Perceptron trying to find the weights for an approximation of the exclusive disjunction function or XOR.
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