mathematical building blocks of neural networks this covers first example of neural network tensors and tensor operations how neural networks learn via backpropagation and gradient descent understanding deep learning requires familiarity with many simple mathematical conceptstensorstensor operationsdifferentiationgradient descentand so on our goal in this will be to build your intuition about these notions without getting overly technical in particularwe'll steer away from mathematical notationwhich can be off-putting for those without any mathematics background and isn' strictly necessary to explain things well to add some context for tensors and gradient descentwe'll begin the with practical example of neural network then we'll go over every new concept licensed to