technology-requirements-deep-machine-learning

Understanding key technology requirements will help technologists, management, and data scientists tasked with realizing the benefits of machine learning make intelligent decisions in their choice of hardware platforms. Deep learning is a technical term that describes a particular configuration of an artificial neural network (ANN) architecture that has many'hidden' or computational layers between the input neurons where data is presented for training or inference, and the output neuron layer where the numerical results of the neural network architecture can be read. Each step in the training process simply applies a candidate set of model parameters (as determined by a black box optimization algorithm) to inference all the examples in the training data. The reason is that numerical optimization requires repeated iterations of candidate parameter sets while the training process converges to a solution.