https://github.com/mohammedsaqibms/transfer-learning-with-mobilenet
A repository showcasing transfer learning with MobileNetV2, featuring data preparation, augmentation, fine-tuning, and evaluation for efficient image classification tasks.
https://github.com/mohammedsaqibms/transfer-learning-with-mobilenet
computer-vision deep-learning image-classification keras-tensorflow mobilenetv2 tensorflow2 transfer-learning-with-cnn
Last synced: 2 months ago
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A repository showcasing transfer learning with MobileNetV2, featuring data preparation, augmentation, fine-tuning, and evaluation for efficient image classification tasks.
- Host: GitHub
- URL: https://github.com/mohammedsaqibms/transfer-learning-with-mobilenet
- Owner: MohammedSaqibMS
- Created: 2025-01-05T17:49:32.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2025-01-06T03:10:39.000Z (5 months ago)
- Last Synced: 2025-01-24T11:15:03.232Z (4 months ago)
- Topics: computer-vision, deep-learning, image-classification, keras-tensorflow, mobilenetv2, tensorflow2, transfer-learning-with-cnn
- Language: Jupyter Notebook
- Homepage:
- Size: 1.82 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 🚀 Transfer Learning with MobileNetV2
This repository demonstrates the implementation of transfer learning using the MobileNetV2 model. It includes key steps such as dataset preprocessing, data augmentation, feature extraction, and model fine-tuning. The code leverages TensorFlow and Keras to showcase the power of transfer learning for image classification tasks.
## 🙌 Credits
This implementation is inspired by the **Deep Learning Specialization** by [DeepLearning.AI](https://www.deeplearning.ai/courses/deep-learning-specialization/). 🌟 Special thanks to their comprehensive and insightful course materials!