Here is another video explaining how neural networks work. This would be good to watch in addition to the video Max posted earlier. Neurons or nodes hold functions to help determine the output. There is a brief description of edge detection and how it applies to the neural network. In depth descriptions of the mathematical logic used within the black box and what the activation function (sigmoid (old) and ReLU(new)) does. Basically describes how the network takes an input of numbers, passes the numbers through a function in the hidden layers and takes this information to calculate an output. Back propagation and how the network learns is not discussed in this video.
https://www.youtube.com/watch?v=aircAruvnKk
Here is another video explaining how neural networks work. This would be good to watch in addition to the video Max posted earlier. Neurons or nodes hold functions to help determine the output. There is a brief description of edge detection and how it applies to the neural network. In depth descriptions of the mathematical logic used within the black box and what the activation function (sigmoid (old) and ReLU(new)) does. Basically describes how the network takes an input of numbers, passes the numbers through a function in the hidden layers and takes this information to calculate an output. Back propagation and how the network learns is not discussed in this video.