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TensorFlow 1.x and 2.x
Figure 2: An example of a Sequential model
Functional API
The Functional API is useful when you want to build a model with more complex
(non-linear) topologies, including multiple inputs, multiple outputs, residual
connections with non-sequential flows, and shared and reusable layers. Each layer
is callable (with a tensor in input), and each layer returns a tensor as an output.
Let's look at an example where we have two separate inputs, two separate logistic
regressions as outputs, and one shared module in the middle.
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