https://github.com/mohammedsaqibms/convolution_model_application

CNN TensorFlow image classification deep learning forward propagation cost optimization model training dataset preprocessing
https://github.com/mohammedsaqibms/convolution_model_application

convolutional-neural-networks cost-optimization dataset-preprocessing deep-learning forward-propagation image-classification model-training tensorflow2

Last synced: 4 months ago
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CNN TensorFlow image classification deep learning forward propagation cost optimization model training dataset preprocessing

• Host: GitHub
• URL: https://github.com/mohammedsaqibms/convolution_model_application
• Owner: MohammedSaqibMS
• Created: 2025-01-05T12:57:32.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2025-02-19T16:01:10.000Z (8 months ago)
• Last Synced: 2025-03-18T04:33:45.489Z (7 months ago)
• Topics: convolutional-neural-networks, cost-optimization, dataset-preprocessing, deep-learning, forward-propagation, image-classification, model-training, tensorflow2
• Language: Jupyter Notebook
• Homepage:
• Size: 10.1 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Convolutional Neural Networks: Application 🧠

## Overview 📚

This repository demonstrates the application of Convolutional Neural Networks (CNN) using TensorFlow for image classification. It focuses on the implementation of a CNN architecture for recognizing different signs. The model includes various layers like convolutional, ReLU activation, max pooling, flattening, and a fully connected output layer. 

## Acknowledgments 🤝

- [DeepLearning.AI](https://www.deeplearning.ai) for their outstanding course materials on deep learning.

- TensorFlow for providing a powerful machine learning framework.

- The community for continuous contributions to open-source machine learning development.