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Visual representation of tensor averaging operations in a neural network.
Distinct from Native Layer Renderers: Specific to the visualization of the averaging operation on tensors, unlike general native layer rendering.
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Tensorspace is a WebGL-based 3D visualization framework and renderer designed to map deep learning model architectures and tensor data into interactive three-dimensional spaces. It serves as a neural network architecture visualizer and model inspector, allowing users to render model topologies and analyze data flow within a web browser. The project distinguishes itself through its ability to convert pre-trained Keras and TensorFlow models into spatial representations. It integrates with TensorFlow.js to execute inference in the browser, enabling the real-time visualization of intermediate act
Renders a merged layer representing the average operation of multiple input tensors.