Feedforward Neural Network from scratch - backpropagation, gradient descent, activation functions
-
Updated
Nov 24, 2023 - Python
Feedforward Neural Network from scratch - backpropagation, gradient descent, activation functions
Python-based ECE mini project for analyzing diode rectifiers
Continuously searching for better graphene electronic devices using a genetic algorithm, quantum transport simulations, and diversity-preserving selection. Automatically updated designs, comparisons, and results 24/7
Unified engine for geomagnetically induced currents across grounded infrastructure
CSE251 diode labs rebuilt as ngspice simulations: diode I-V, half-wave and bridge rectifiers, Zener regulator; measured and tested
To associate your repository with the rectifier topic, visit your repo's landing page and select "manage topics."