PyTorch ML - Deep Learning with PyTorch Framework
Complete machine learning environment for model training, GPU acceleration, and data science workflows
Tags
Updated: 2026-03-20Capabilities
Typical Inputs
Typical Outputs
What this skill does
- define neural networks
- train neural networks
- accelerate with CUDA
- load data
- preprocess data
- save model checkpoints
- run model inference
- visualize with TensorBoard
- train distributed
- load pretrained models
- fine-tune models
- save model files
- load model files
- optimize with mixed precision
- manage CUDA memory
Inputs
- training data
- model architecture
- pretrained model weights
- CUDA GPU
Outputs
- trained model files
- model checkpoints
- inference results
- TensorBoard logs
Requirements
- CUDA 12+
- cuDNN support
- GPU with compute capability