https://github.com/jaewonson37/neural_networks_and_deep_learning1

adam-optimizer backward-propagation cost-functions forward-propagation gredient-decent machine-translation momentum multilayer-perceptrons neural-network-training neural-style-transfer numpy rmsprop xor-logical-operator

Last synced: 07 Apr 2025

https://github.com/mohammedsaqibms/building-your-deep-neural-network

This repository guides you in building deep neural networks from scratch using Python and NumPy, covering key concepts like forward propagation and cost functions for binary classification.

binaryclassification cost-functions deep-learning forward-propagation neural-networks numpy python3

Last synced: 18 Mar 2025

https://github.com/jaewonson37/neural_networks_and_deep_learning

adam-optimizer backward-propagation cost-functions forward-propagation gredient-decent momentum multilayer-perceptrons neural-network-training numpy rmsprop xor-logical-operator

Last synced: 20 Mar 2025

https://github.com/erisilver/stanford-machinelearning-ex1

With OCTAVE - For the exercises details, kindly read ex1.pdf in the repo.

cost-functions feature-scaling gradient-descent linear-regression normal-equations octave optimization polynomial-regression

Last synced: 05 May 2025