Training Neural Networks with Gorgonia

Deep learning and neural networks are very interesting subjects and Go language supports this technology using the framework Gorgonia. Gorgonia works like similar frameworks, for example, Tensorflow, allowing the creation of graphs of operations and tensors. There isn't something like Keras for Gorgonia, although the project Golgi is promising. 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 very basic example of MLP - Multilayer Perceptron trying to find the weights for an approximation of the exclusive disjunction function or XOR.