# TinyTorch Module Metadata
# Essential system information for CLI tools and build systems

name: "activations"
title: "Activation Functions"
description: "Neural network activation functions (ReLU, Sigmoid, Tanh, Softmax)"

# Dependencies - Used by CLI for module ordering and prerequisites
dependencies:
  prerequisites: ["tensor"]
  enables: ["layers", "networks"] 

# Package Export - What gets built into tinytorch package
exports_to: "tinytorch.core.activations"

# File Structure - What files exist in this module
files:
  dev_file: "activations_dev.py"
  readme: "README.md"
  tests: "inline"

# Educational Metadata
difficulty: "⭐⭐"
time_estimate: "3-4 hours"

# Components - What's implemented in this module
components:
  - "ReLU"
  - "Sigmoid"
  - "Tanh"
  - "Softmax"