Let's first write a simple Image Recognition Model using Inception V3 and Keras

Let's first write a simple Image Recognition Model using Inception V3 and Keras The goal of the inception module is to act as a "multi-level feature extractor" by computing 1 1, 3 3, and 5 5 convolutions within the same module of the network -- the output of these filters are then stacked along the channel dimension and before being fed into the next layer in the network. The original incarnation of this architecture was called GoogLeNet, but subsequent manifestations have simply been called Inception vN where N refers to the version number put out by Google. What are we going to Detect? What does this Image say to a Computer?