iamharshvardhan / Dog-Vision

This TensorFlow-based machine learning project leverages transfer learning to classify dog breeds. By fine-tuning pre-trained models, it identifies canine breeds based on the given data.

Dog-Vision

This TensorFlow-based machine learning project leverages transfer learning to classify dog breeds. By fine-tuning pre-trained models, it identifies canine breeds based on the given data.

Prerequisites

• Python 3
• Jupyter Notebook
• Scikit-learn
• Pandas
• NumPy
• Matplotlib
• TensorFlow
• TensorFlow Hub

Instructions

• Clone the repository. git clone https://github.com/iamharshvardhan/Dog-Vision.git
• Open the dog-vision.ipynb Jupyter Notebook.
• Run the cells in the notebook to train and evaluate the deep-learning model.

Results

The deep learning model we have used is (Sequential) with (imagenet/mobilenet_v2_130_224/classification) architecture.

License

This project is licensed under the MIT License.