Web Reference: Jun 26, 2025 · Keras provides two main ways to build deep learning models: the Sequential API and the Functional API. Both are part of the Keras high-level API, but they differ in terms of flexibility and use cases. The Sequential API is best for models with a linear flow one layer after another. Feb 6, 2024 · Choosing between the Sequential, Functional, and Subclassing API in TensorFlow is a fundamental decision that can influence: The ease of the model development. The speed of iteration. Apr 12, 2024 · In addition to models with multiple inputs and outputs, the functional API makes it easy to manipulate non-linear connectivity topologies -- these are models with layers that are not connected sequentially, which the Sequential API cannot handle.
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