11 min listen
[MINI] Convolutional Neural Networks
FromData Skeptic
ratings:
Length:
15 minutes
Released:
May 19, 2017
Format:
Podcast episode
Description
CNNs are characterized by their use of a group of neurons typically referred to as a filter or kernel. In image recognition, this kernel is repeated over the entire image. In 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. In this episode, we discuss a few high-level details of this important architecture.
Released:
May 19, 2017
Format:
Podcast episode
Titles in the series (100)
[MINI] type i / type ii errors: In this first mini-episode of the Data Skeptic Podcast, we define and discuss type i and type ii errors (a.k.a. false positives and false negatives). by Data Skeptic