Stupid TensorFlow tricks – Towards Data Science – Medium

Google's machine intelligence library, TensorFlow (TF), has become synonymous with deep learning. Despite the name, deep learning involves just a few simple things, the complexity comes from repeating these simple things millions of times (concretely, it's the composition of millions of elementary functions). To "solve" a problem in TF, you find the minimum of some function. The hard part is the backprop which requires the derivative of this massive function. This is where TF excels, as it removes the drudgery of algorithmic differentiation and automagically moves the computation to the GPU.