Introduction to Computational Graphs

Computational graphs are essential tools in machine learning, particularly for managing complex models like neural networks. They simplify the process of calculating derivatives and improve computational feasibility. This post offers a deep dive into understanding computational graphs, their components, and practical implementation, laying groundwork for using them in frameworks like neural networks and gradient descent.