Tools Intermediate 1 year experience
Summary
Experience with PyTorch for building and training neural networks, including custom model architectures and training pipelines.
How I Apply This Skill
- Built custom logistic regression model using nn.Module inheritance
- Implemented complete training pipeline including forward pass, loss calculation, and backpropagation
- Configured SGD optimizer with learning rate scheduling
- Used DataLoader for efficient batch processing of MNIST data
- Applied cross-entropy loss for multiclass classification
Key Strengths
- Model Building: nn.Module, custom architectures, layer composition
- Training Pipeline: Forward pass, backwards pass, optimizer
- Data Handling: DataLoader, transforms, batch processing
- Loss Functions: CrossEntropyLoss, MSE, optimization