Swift Taylor Approximations

By Sarah Zucca [CC BY-SA 2.0]

This post continues my explorations of simple intelligence. In this post, we'll consider some elementary sensing cells. We'll then look at whether we can apply local function approximators. Sensors Consider a set of sensing cells, which we'll call "sensors". We have N sensors, where each sensor measures a value over time. This value could be … Continue reading Swift Taylor Approximations

Understanding Convolution in Tensorflow

This is a quick post intended to help those trying to understand convolution as applied in Tensorflow. There are many good blog posts on the Internet explaining convolution as applied in convolutional neural networks (CNNs), e.g. see this one by Denny Britz. However, understanding the theory in one thing, knowing how to implement it is … Continue reading Understanding Convolution in Tensorflow