What tools can visualize neural network architectures?

Several tools can help visualize neural network architectures, making it easier for developers and researchers to understand and debug their models. Some popular tools include TensorBoard, Netron, and Keras-Visualizer.

TensorBoard, which is integrated with TensorFlow, provides a suite of visualizations to track training metrics, display model graphs, and monitor performance over time. Netron is a lightweight, web-based tool that can visualize pre-trained models and model architectures in a simple, interactive way. Keras-Visualizer is a tool specifically designed to visualize Keras models and their layers.

These tools are essential for debugging, understanding, and improving neural network architectures, especially when dealing with large and complex models.