n inception network is a deep neural network with an architectural design that consists of repeating components referred to as Inception modules. As mentioned earlier, this article focuses on the technical details of the inception module. Before diving into the technical introduction of the Inception module, here are some more information as to what this article entails. The origination of the name given to the Inception Module Background into main concepts and ideas that inspired the architectural designs of the Inception module. Technical details of the individual components of the Inception module. Illustrations that depicts architecture details and internal structure of the Inception module. Calculations to derive the number of multiplier operations within individual Inception module components. Name Origin The name Inceptions probably sounds familiar to some readers, especially if you are a fan of the actor Leonardo DiCaprio or movie director, Christopher Nolan. Inception is a movie released in 2010, and the concepts of embedded dream state were the central premise of the film. The idea of dreams within dreams turned into a popular internet meme, which the authors of Inception cite as an inspiration for the name chosen for the network. Another inspiration for the name Inception is from a more technical source. Network in Network was a paper published in 2014 by Min Lin et al., and it explored the increase of the representational power of neural networks through the implementation of embedded internal complex structures within networks.