Owl’s Tutorial Book¶
Contents:¶
- Introduction
- Installation
- Architecture
- Modules & Basics
- N-Dimensional Array
- Matrix Manipulation
- Broadcasting Operation
- Indexing and Slicing
- Function Naming Conventions
- Operators
- Maths Module
- Statistics Module
- Linear Algebra
- Fast Fourier Transform
- Lazy Evaluation and Dataflow
- Algorithmic Differentiation
- Optimisation Engine
- Neural Network
- Plot Figures
- Scripting and Zoo System
- Sparse Data Structures
- Compile into Javascript
- Constants and Metric System
- Testing Framework
- Natural Language Processing
- Case - Google Inception V3
- Case - Neural Style Transfer
- Community
- Related Sub-Projects
- Project 1. Maths and Stats in the Base library
- Project 2. Linear Algebra in the Base library
- Project 3. Ndarray in the Base library
- Project 4. Probabilistic Programming
- Project 5. Machine Learning Applications
- Project 6. Deep Neural Network
- Project 7. Optimisation Engine
- Project 8. Signal Processing & ODE
- Project 9. Dynamic Graph Optimisation
- Project 10. GPU Computing
- Project 11. Data Processing and Visualisation
- How-To?
- References