Web Reference: Apr 12, 2020 · Also note that the Sequential constructor accepts a name argument, just like any layer or model in Keras. This is useful to annotate TensorBoard graphs with semantically meaningful names. Generally, all layers in Keras need to know the shape of their inputs in order to be able to create their weights. Jul 23, 2025 · The Sequential class in Keras is particularly user-friendly for beginners and allows for quick prototyping of machine learning models by stacking layers sequentially. This article provides a deep dive into the Sequential class, explaining its features, usage, and common practices. This method lets you export a model to a lightweight SavedModel artifact that contains the model's forward pass only (its call() method) and can be served via e.g. TF-Serving.
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