Functional APIs are much more flexible and give you the option to design more complex and more efficient models in TensorFlow and Keras. In the Sequential models, you do not have control over where the input should come in each layer. Each layer takes the input from the previous layer except for the first layer. But in the functional API, you can decide where the input should come from in each layer. Multiple layers can be concatenated together and also layers can be shared between models.
The complete code used in this tutorial is here:
github.com/rashida048/TensorF...
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