About this document
Build Neural Networks in Python by hasahmad9982 is a document available to read on EtoBox.
The document outlines the process of building a neural network from scratch in Python, focusing on the mathematical foundations and coding implementation. It covers key concepts such as forward propagation, backward propagation, and gradient descent, while detailing the creation of various layers including fully connected and activation layers. The goal is to enable the construction of modular neural networks capable of learning from data through iterative adjustments of parameters.
- Author
- hasahmad9982
- Language
- EN