Programming PyTorch for Deep Learning

Index

Symbols

• @app.route() function, Building a Flask Service
• @torch.jit.script_method, Scripting
• __call__, Custom Transform Classes, Frequency masking
• __getitem__, Building an ESC-50 Dataset, A New Dataset
• __init__, SoX Effect Chains, TorchScript Limitations
• __len__, Building an ESC-50 Dataset
• __repr__, Custom Transform Classes

A

• AdaGrad, Optimizing
• Adam, Optimizing, A CNN Model for ESC-50
• AdaptiveAvgPool layer, Pooling
• AdaptiveMaxPool layer, Pooling
• add_graph() function, Sending Data to TensorBoard
• adversarial samples, Adversarial Samples-Defending Against Adversarial Attacks
  • and black box attacks, Black-Box Attacks
  • and defending against adversarial attacks, Defending Against Adversarial Attacks
• AlexNet, AlexNet, Gradient Checkpointing, Tracing
• Amazon Web Services (see AWS)
• AMD, GPU
• Anaconda, Anaconda
• ApacheMXNet, What About TensorFlow?
• append_effect_to_chain, SoX Effect Chains
• ARG, Building the Docker Container
• argmax() function, Tensor Operations, Making Predictions, Classifying Tweets, Adversarial Samples
• arXiv, Conclusion
• arXiv Sanity Preserver, Conclusion
• attacks
  • adversarial, Defending Against Adversarial Attacks
  • black-box, Black-Box Attacks
  • white-box, Black-Box Attacks
• attention, Paying Attention
• audio (see sound)
• autoencoder, Introduction to Super-Resolution
• AutoML, Other Architectures Are Available!
• AWS (Amazon Web Services), Amazon Web Services, Deploying on Kubernetes
• Azure, Cloud Providers, Azure, Deploying on Kubernetes
• Azure Blob Storage, Local Versus Cloud Storage, Local Versus Cloud Storage
• Azure Marketplace ...