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PyTorch Library
1. Introduction to PyTorch
2. Tensors: The Foundation
3. Tensor Operations and Manipulation
4. Automatic Differentiation
5. Neural Network Construction
6. Data Handling and Processing
7. Model Training and Optimization
8. Model Persistence and Deployment
9. Advanced PyTorch Features
10. PyTorch Ecosystem Integration
PyTorch Ecosystem Integration
Computer Vision with torchvision
Datasets and Data Loading
Built-in Datasets
Custom Dataset Integration
Data Augmentation
Pre-trained Models
Model Zoo Access
Transfer Learning
Fine-tuning Strategies
Image Transformations
Preprocessing Pipelines
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Normalization Standards
Natural Language Processing
Text Processing Fundamentals
Tokenization Strategies
Vocabulary Management
Sequence Handling
Transformer Models
Attention Mechanisms
Encoder-Decoder Architecture
Pre-trained Model Integration
Language Model Applications
Text Classification
Sequence Generation
Named Entity Recognition
Audio Processing with torchaudio
Audio Data Handling
Waveform Processing
Spectrogram Generation
Feature Extraction
Audio Transformations
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Augmentation Techniques
Format Conversion
Speech and Audio Models
Speech Recognition
Audio Classification
Generative Audio Models
High-level Frameworks
PyTorch Lightning
Training Abstraction
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Multi-GPU Automation
Hugging Face Integration
Transformer Models
Tokenizer Integration
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1. Introduction to PyTorch