In order to support a compact visualization of large models, Tensorleap defaultively encode your model into a single block. This block is named Model.
The last layer of your model is extracted from the Model block and presented to the right of it, in order to ease the mapping creation process and enable connections to be made to it directly.
If you would like to visualize other, internal, representations of your model clicking the expand model in the left hand controller expands your model and presents all of the layers from which it is created.
The Network view after the model was expanded
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It is highly recommended to keep the model in "compact" form if inner layers are not visualized or if the mapping is completed. This would ensure a smooth experience when reviewing the Network view tab.
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