UsefulLinks
Computer Science
Artificial Intelligence
Deep Learning
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
10.
PyTorch Ecosystem Integration
10.1.
Computer Vision with torchvision
10.1.1.
Datasets and Data Loading
10.1.1.1.
Built-in Datasets
10.1.1.2.
Custom Dataset Integration
10.1.1.3.
Data Augmentation
10.1.2.
Pre-trained Models
10.1.2.1.
Model Zoo Access
10.1.2.2.
Transfer Learning
10.1.2.3.
Fine-tuning Strategies
10.1.3.
Image Transformations
10.1.3.1.
Preprocessing Pipelines
10.1.3.2.
Augmentation Techniques
10.1.3.3.
Normalization Standards
10.2.
Natural Language Processing
10.2.1.
Text Processing Fundamentals
10.2.1.1.
Tokenization Strategies
10.2.1.2.
Vocabulary Management
10.2.1.3.
Sequence Handling
10.2.2.
Transformer Models
10.2.2.1.
Attention Mechanisms
10.2.2.2.
Encoder-Decoder Architecture
10.2.2.3.
Pre-trained Model Integration
10.2.3.
Language Model Applications
10.2.3.1.
Text Classification
10.2.3.2.
Sequence Generation
10.2.3.3.
Named Entity Recognition
10.3.
Audio Processing with torchaudio
10.3.1.
Audio Data Handling
10.3.1.1.
Waveform Processing
10.3.1.2.
Spectrogram Generation
10.3.1.3.
Feature Extraction
10.3.2.
Audio Transformations
10.3.2.1.
Filtering and Enhancement
10.3.2.2.
Augmentation Techniques
10.3.2.3.
Format Conversion
10.3.3.
Speech and Audio Models
10.3.3.1.
Speech Recognition
10.3.3.2.
Audio Classification
10.3.3.3.
Generative Audio Models
10.4.
High-level Frameworks
10.4.1.
PyTorch Lightning
10.4.1.1.
Training Abstraction
10.4.1.2.
Experiment Management
10.4.1.3.
Multi-GPU Automation
10.4.2.
Hugging Face Integration
10.4.2.1.
Transformer Models
10.4.2.2.
Tokenizer Integration
10.4.2.3.
Pipeline Abstractions
10.4.3.
Research Libraries
10.4.3.1.
Specialized Architectures
10.4.3.2.
Experimental Features
10.4.3.3.
Community Contributions
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9. Advanced PyTorch Features
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1. Introduction to PyTorch