### #017 CNN Inception Network

$$Inception\enspace network$$  Motivation for the $$Inception\enspace network$$: In the last post we talked about why $$1\times 1$$ convolutional layer can be useful and now we will use it for building the $$Inception\enspace network$$. When designing a layer for a $$convnet$$ we might have to choose between a $$1 \times 3$$ filter, a $$3 \times 3$$ or $$5\times 5$$ or maybe a pooling layer. An $$Inception\enspace network$$ solves this…