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Visual representation of fully connected (dense) layers in neural networks.
Distinct from Fully Connected Layers: Focuses on the visual rendering of the layer, whereas Fully Connected Layers usually refers to the mathematical operation.
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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 fully connected neural network layers with configurable node counts and interactive animations.