Demo notebooks# Introduction: PyTorchInspector, Lenses and Visualizers Abstract Imports and Dataset Neural Net Definition Inspector Definition Base Usage Detach-Attach Hot-Swapping Visualizer Next Steps Loss and Metrics: Ecommerece Text Classification Abstract Imports and Dataset Neural Network Definition Explicit Loss saving Automatic Loss Saving What to Look for Next steps Activations: MNIST Abstract Imports Activation Lenses 2D Examples MNIST What to Look for Next Steps Gradient Geometry: Sentiment Analysis with RNNs Abstract Imports and Datasets Gradient Geometry Lens RNN LSTM What to Look for Next Steps Ouput and Parameter Norm: Deep Q-Network for CartPole Abstract Imports and Environment Output Norm Lens Parameter Norm Lens CartPole What to Look for Next Steps