Author Archives: jamesdmccaffrey

I gave a talk about the back-propagation algorithm recently. Back-propagation is used to train a neural network. Consider a math equation like y = 5X1 + 7X2 so the equation has two inputs, X1 and X2, and two constants, 5 … Continue reading →

You’d think that initializing the weights and biases in a neural network wouldn’t be very difficult or interesting. No so. The simplest way to initialize weights and biases is to set them to small (perhaps -0.01 to +0.01) uniform random … Continue reading →

I wrote an article titled “Neural Network Back-Propagation using Python” in the June 2017 issue of Visual Studio Magazine. See https://visualstudiomagazine.com/articles/2017/06/01/back-propagation.aspx I strongly believe that when working with machine learning, even if you’re using a tool such as Weka or … Continue reading →