olagalal / backpropagation

Backpropagation algorithms are a family of methods used to efficiently train artificial neural networks following a gradient-based optimization algorithm that exploits the chain rule. Here I used sigmoid function as activation function, and the training example is the logical AND gate.

Hello, I'm Ola Galal 👋

✨ I'm Teaching Assistant at UofCanada in Egypt. Interested in Web Development and Machine Learning. Always striving for impactful projects and broadening my skills. 🚀👩🏻‍💻

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Weekly Development Breakdown

Java             7 hrs 11 mins   ██████████████████░░░░░░░   71.57 %
Python           1 hr 34 mins    ████░░░░░░░░░░░░░░░░░░░░░   15.65 %
Markdown         1 hr            ██▓░░░░░░░░░░░░░░░░░░░░░░   10.09 %
Text             7 mins          ▒░░░░░░░░░░░░░░░░░░░░░░░░   01.30 %
Other            7 mins          ▒░░░░░░░░░░░░░░░░░░░░░░░░   01.21 %