I built a open source neural network shape validator [P]
Summary
An open source tool for validating the shapes of neural networks has been built and shared by the author.
Similar Articles
@GoodfireAI: Neural networks do math by rotating shapes. We found a shape-rotating calculator hidden inside an LLM – and it’s used f…
GoodfireAI found that neural networks perform math by rotating shapes, uncovering a shape-rotating calculator inside an LLM that is used for more than just math.
How Data Augmentation Shapes Neural Representations
This paper uses shape analysis tools to characterize how different data augmentation strategies reshape the geometry of neural network representations, finding that augmentation strength and type lead to distinct, well-behaved trajectories in shape space.
@GoodfireAI: Neural networks might speak English, but they think in shapes. Understanding their rich *neural geometry* is key to und…
Goodfire AI announces a new research agenda focused on neural geometry to improve the understanding, debugging, and control of neural networks.
Uncovering the Limits of Proof Sharing for Neural Networks
This paper conducts a systematic study on template-based acceleration for neural network robustness verification and introduces FastCert, a technique to automatically distribute templates for improved performance.
@DanKornas: Need to inspect a model file before wiring it into your stack? Netron is a visualizer for neural network, deep learning…
Netron is an open-source visualizer for neural network, deep learning, and machine learning model files, supporting formats like ONNX, PyTorch, TensorFlow, and more via browser, desktop, or Python.