NVIDIA Deep Learning Course: Getting Started with Torch7 - Class 5

Explore the fundamentals of Torch7, a popular scientific computing framework, in this 45-minute deep learning course from NVIDIA. Learn about Torch's easy-to-use Lua scripting language, its fast C/CUDA implementation, and transparent GPU integration. Discover why Torch has gained popularity among the deep learning community, especially in large web companies, due to its extensive ecosystem of community-driven packages for machine learning, computer vision, and signal processing. Gain insights into Torch's multi-GPU support for training Deep Neural Networks (DNNs). Cover topics such as installation, package distribution, network construction, QDNN, and Digits output. Participate in hands-on labs, explore performance tips, and access resources to further your understanding of Torch7 and its applications in deep learning.

Introduction
Welcome
Agenda
Handson labs
I talks
Why we are here
About Torch
Cheat Sheet
Why Torch
Benefits
Packages
Lua
Rocks
Installation
Package Distribution
Network Construction
QDNN
Digits
Digits output
Standard logs
Example
Further Help
Torch7 Handson Lab
Supporting Software
Performance
Cheatsheet
Resources
Questions