A quick tour of the Keras functional API
So far, we've used sequential models. In the sequential model, layers get stacked on top of each other when we call model.add(). The advantage of the functional API is that it is simple and prevents errors. The disadvantage is that it only allows us to stack layers linearly:
GoogLeNet Architecture from Szegedy and others' "Going Deeper with Convolutions"
Take a look at the preceding GoogLeNet architecture. While the graph is very detailed, what we need to take away is the fact that the model is not just a number of layers stacked on top of each other. Instead, there are multiple layers in parallel; in this ...
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