Visualkeras is a Python package to help visualize Keras (either standalone or included in TensorFlow) neural network architectures. It allows easy styling to fit most needs. This module supports layered style architecture generation which is great for CNNs (Convolutional Neural Networks), and a graph style architecture, which works great for most models including plain feed-forward networks.
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AttributeError: 'Sequential' object has no attribute '_layers' #49
this is my model summary,
Sequential( (0): Linear(in_features=49, out_features=64, bias=True) (1): ReLU() (2): Linear(in_features=64, out_features=256, bias=True) (3): ReLU() (4): Linear(in_features=256, out_features=1024, bias=True) (5): ReLU() (6): Linear(in_features=1024, out_features=256, bias=True) (7): ReLU() (8): Linear(in_features=256, out_features=64, bias=True) (9): ReLU() (10): Linear(in_features=64, out_features=49, bias=True) (11): Sigmoid() )