[MINI] Convolutional Neural Networks
CNNs are characterized by their use of a group of neurons typically referred to as a filter or kernel. \xa0In image recognition, this kernel is repeated over the entire image. \xa0In this way, CNNs may achieve the property of translational invariance - once trained to recognize certain things, changing the position of that thing in an image should not disrupt the CNN's ability to recognize it. \xa0In this episode, we discuss a few high-level details of this important architecture.