# Ml Deep Learning Foundations

> Building and training neural networks using modern deep learning frameworks.

- Skill: `jcorpac/ml-deep-learning-foundations` (Agent Skill)
- Install (CLI): `npx skillmds@latest add jcorpac/ml-deep-learning-foundations`
- Raw SKILL.md: https://api.skillmd.com/api/skills/jcorpac/ml-deep-learning-foundations/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: jcorpac (https://skillmd.com/u/jcorpac)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/jcorpac/ml-deep-learning-foundations

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# ML Deep Learning Foundations

Deep learning powers complex vision and sequence tasks.

## Core Components
- **Architectures**: CNNs (Vision), RNNs/LSTMs (Sequences), Transformers (Everything).
- **Optimizers**: Adam, SGD, RMSprop.
- **Loss Functions**: CrossEntropy (Classification), MSE (Regression).

## Advanced Patterns
- **Transfer Learning**: Fine-tuning pre-trained models (e.g., ResNet, BERT).
- **Regularization**: Dropout, Batch Normalization, and Weight Decay.
- **Early Stopping**: Preventing overfitting by monitoring validation loss.

## Frameworks
- **PyTorch**: Researcher favorite, highly dynamic.
- **TensorFlow / Keras**: Mature ecosystem, production-ready.