Skip to content
#

two-layer-neural-network

Star

Here are 5 public repositories matching this topic...

spsingh37 / Image-classification

Star 1

This project explores image classification on the PROPS Classification Dataset. It includes K-Nearest Neighbors, Support Vector Machine, and Softmax classifiers, and two-layer and multi-layer neural networks. The goal is to build a machine learning pipeline, experiment with optimizers, and evaluate model performance.

machine-learning neural-networks image-classification support-vector-machines softmax-classifier two-layer-neural-network optimizers k-nearest-neighbor-classifier multi-layered-neural-network props-classification
  • Updated Aug 18, 2024
  • Jupyter Notebook

82Luli02 / CCAI321_Artificial_Neural_Network

Star 0

This repository is dedicated to the lab work completed for the CCAI 321 course. It demonstrates practical work in artificial neural networks, including the implementation of activation functions, Hamming networks, perceptron and Hebb learning rules, and two-layer networks in Python. Networks were trained and tested on both examples and real data.

training testing ai artificial-intelligence artificial-neural-networks perceptron ann hamming-network hebbian-learning-rule perceptron-neural-networks two-layer-neural-network
  • Updated Oct 2, 2024
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the two-layer-neural-network topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the two-layer-neural-network topic, visit your repo's landing page and select "manage topics."

Learn more