https://github.com/mohammedsaqibms/convolution_model_step_by_step
A step-by-step implementation of core CNN components, including zero-padding, convolution, and pooling layers, inspired by the Deep Learning Specialization.
https://github.com/mohammedsaqibms/convolution_model_step_by_step
convolution convolutional-neural-networks deep-learning deep-learning-specialization pooling-layers zero-padding
Last synced: about 1 year ago
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A step-by-step implementation of core CNN components, including zero-padding, convolution, and pooling layers, inspired by the Deep Learning Specialization.
- Host: GitHub
- URL: https://github.com/mohammedsaqibms/convolution_model_step_by_step
- Owner: MohammedSaqibMS
- Created: 2025-01-05T10:16:12.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-19T15:59:33.000Z (over 1 year ago)
- Last Synced: 2025-02-19T16:42:57.574Z (over 1 year ago)
- Topics: convolution, convolutional-neural-networks, deep-learning, deep-learning-specialization, pooling-layers, zero-padding
- Language: Jupyter Notebook
- Homepage:
- Size: 41 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# 🧠Convolutional Neural Networks: Step by Step
Welcome to the **Convolutional Neural Networks: Step by Step** repository! 🚀 This project provides an in-depth implementation of foundational concepts in Convolutional Neural Networks (CNNs), including zero-padding, convolutional steps, forward propagation, and pooling layers.
This repository is an excellent resource for anyone looking to understand the mechanics of CNNs through practical coding examples. 💻✨
## 🙌 Acknowledgments
Special thanks to the amazing team at [DeepLearning.AI](https://www.deeplearning.ai/courses/deep-learning-specialization/) for their educational resources and inspiration. This repository is built upon concepts taught in their **Deep Learning Specialization** course. 🎓📚