Data Augmentation
Comprehensive guide to data augmentation techniques for training robust deep learning models. Why Data Augmentation? Benefits: Increases training data diversity Reduces overfitting Improves model generalization Makes models robust to variations Cost-effective alternative to collecting more data Common Use Cases: …
Read MoreEssential PyTorch operations and patterns for deep learning. Installation 1# CPU version 2pip install torch torchvision torchaudio 3 4# GPU version (CUDA 11.8) 5pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118 6 7# Check installation 8python -c "import torch; …
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