Deep Learning Projects in C++

Welcome to my deep learning projects repository! Here, you will find three original implementations of neural networks developed from scratch in C++.

1. Deep Learning Architecture

Description:
The project is a deep learning architecture developed from scratch that allows users to create an interactive neural network architecture by defining the number of neurons in each layer. This hands-on approach enhances understanding of neural network structures and offers insights into how different configurations impact model performance.

Features:

• Interactive interface for architecture customization.
• Ability to train and test the network on simple datasets.

2. Supply Chain Deep Learning Model

Description:
This project is a deep learning model developed to address specific challenges in supply chain management. The C++ implementation was created from scratch and can handle complex data, providing predictions that aid strategic decision-making.

Features:

• Supervised learning algorithms.
• Focus on optimizing logistics processes.
• Capability to analyze historical data for future predictions.

3. Topology-Based Data Classification (Neural Network)

Description:
The neural network in this project classifies data based on their topologies, allowing for an innovative approach to data analysis.

Features:

• Classification based on data topology.
• Methods for visualizing and interpreting results.