This repository is dedicated to sharing foundational learning materials and code implementations related to Deep Learning and programming languages. The materials and code here were developed as part of the NVIDIA AI Academy program, a highly competitive and intensive training initiative designed to cultivate advanced AI R&D talent.
The NVIDIA AI Academy provided 960 hours of hands-on training, covering:
- Programming fundamentals (C, C++, Python, Embedded Systems).
- Core AI concepts such as Deep Learning, Computer Vision, Natural Language Processing (NLP), and Reinforcement Learning.
- Practical experience with NVIDIA GPU Cloud servers and Jetson boards.
- Expert-led instruction from NVIDIA’s Deep Learning Institute (DLI).
This repository is organized into the following folders, each representing a specific area of study:
├── CNN/ # Convolutional Neural Networks basics
├── C_C++/ # Programming exercises in C and C++
├── DL/ # General Deep Learning foundational codes
├── Data_Analysis/ # Python-based data analysis examples
├── Python/ # Basic Python programming and utilities
├── RL/ # Reinforcement Learning fundamentals
├── RNN/ # Recurrent Neural Networks basics
└── README.md # Documentation