Web Reference: Jun 25, 2017 · In Keras, the input layer itself is not a layer, but a tensor. It's the starting tensor you send to the first hidden layer. This tensor must have the same shape as your training data. Example: if you have 30 images of 50x50 pixels in RGB (3 channels), the shape of your input data is (30,50,50,3). Feb 26, 2026 · Learn how Keras Conv3D handles spatial dimensions. Understand the relationship between depth, height, width, and data_format for 5D tensor inputs. A Keras tensor is a symbolic tensor-like object, which we augment with certain attributes that allow us to build a Keras model just by knowing the inputs and outputs of the model.
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