Web Reference: Apr 12, 2020 · When building a new Sequential architecture, it's useful to incrementally stack layers with add() and frequently print model summaries. For instance, this enables you to monitor how a stack of Conv2D and MaxPooling2D layers is downsampling image feature maps: 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. Jan 13, 2025 · However, it can be very useful when building a Sequential model incrementally to be able to display the summary of the model so far, including the current output shape. In this case, you should start your model by passing an Input object to your model, so that it knows its input shape from the start:
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