graph BT; A[Flat Array] --> B[N-Dimensional Array]; B[N-Dimensional Array] --> C[Tensor];
Tiny-Pytorch (repo) is a deep learning system that is similar in nature to Pytorch. It involves implementing the core underlying algorithms behind deep learning systems such as automatic differentiation and different optimization algorithms such as Stochastic Gradient Boosting (SGD) and Adaptive Momentum (Adam).
The main learning and critical part of this project is building everything from the ground up:
graph BT; A[Flat Array] --> B[N-Dimensional Array]; B[N-Dimensional Array] --> C[Tensor];
The main objectives to build this framework: