Tutorial on Deep Learning in Computer Vision

Applied Deep Learning for Computer Vision with Torch

This repository contains the complete materials from the CVPR 2015 workshop on Applied Deep Learning for Computer Vision with Torch. It provides hands-on educational resources for learning how to implement deep learning models using the Torch framework, specifically focused on computer vision applications. ## Key Features - **Workshop Materials** — Includes slides and Jupyter notebooks from the CVPR 2015 workshop - **Deep Learning Tutorials** — Step-by-step notebooks covering fundamental deep learning concepts with Torch - **Computer Vision Focus** — Practical examples and implementations specifically for computer vision tasks - **Reinforcement Learning** — Includes Deep-Q learning implementation for training agents to play Atari games - **Pre-configured Environment** — Amazon EC2 image with all dependencies pre-installed for immediate use ## Philosophy The workshop emphasizes practical, hands-on learning with production-ready tools, making advanced deep learning techniques accessible through interactive notebooks and real-world examples.