Today we're looking at running inference / forward pass on a neural network model in Golang. If you're a beginner like me, using a framework like Keras, makes writing deep learning algorithms significantly easier. If you're very fresh to deep learning, please have a look at my previous post: Deep Learning,
Deep Learning with neural networks is something I initially started Googling about but could never find a good enough article that started with the foundations. If like me, you started finding articles online that compared NN's with brain synapses and the like; I found those just added to the confusion.