Convolution Neural Network in One Dimension
Introduction We should be able to answer the following by the end of this course: How convolution works How to create a convolution layer for a neural network What considerations need to be taken when working with one-dimension data How to modify a convolution neural network to get good performance As well as some general questions about NNs How to use a neural network to perform classification tasks How a softmax layer works and how to implement it How a batch normalization layer works and how to implement it How to create a neural network out of any differentiable function you like When $a \ne 0$, there are two solutions to $(ax^2 + bx + c = 0)$ and they are $$ x = {-b \pm \sqrt{b^2-4ac} \over 2a} $$...