nn
Neural Network package for Torch, enabling deep learning.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is nn?
The nn package is a comprehensive library for building and training neural networks within the Torch framework. It provides essential components like layers, loss functions, and optimizers to facilitate efficient deep learning model development.
Key differentiator
“nn stands out as a robust and flexible library for deep learning, tightly integrated with the Torch ecosystem to provide efficient computation.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
The nn package is primarily designed with Lua, which may be unfamiliar to many modern deep learning practitioners who are more accustomed to Python or other languages.
Lua is less popular compared to Python in the machine learning space, leading to a smaller user base and fewer resources for troubleshooting and learning.
The nn package integrates primarily with Torch, which is not as widely used or supported as TensorFlow or PyTorch in the current landscape of deep learning tools.
Official documentation for nn package lacks comprehensive tutorials and example use cases, making it harder for new users to get started effectively.
Fit analysis
Who is it for?
✓ Best for
Developers working on deep learning projects who need a comprehensive library for building and training neural networks.
Researchers looking to experiment with different neural network architectures within the Torch framework.
✕ Not a fit for
Teams requiring cloud-based managed services for model deployment
Projects that require real-time inference without local setup
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Alternatives
Works well with
Next step
Get Started with nn
Step-by-step setup guide with code examples and common gotchas.