https://github.com/lasithaamarasinghe/dog-classification-with-tensorflow

This is an end-to-end deep learning project using Tensorflow and Keras for dog classification.
https://github.com/lasithaamarasinghe/dog-classification-with-tensorflow

convolutional-neural-networks deep-learning dog-classification jupyter-notebook keras matpolotlib pandas pil pillow tensorflow

Last synced: 2 months ago
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This is an end-to-end deep learning project using Tensorflow and Keras for dog classification.

• Host: GitHub
• URL: https://github.com/lasithaamarasinghe/dog-classification-with-tensorflow
• Owner: LasithaAmarasinghe
• Created: 2024-06-07T10:35:33.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2024-06-16T06:34:07.000Z (11 months ago)
• Last Synced: 2025-01-10T03:39:24.484Z (4 months ago)
• Topics: convolutional-neural-networks, deep-learning, dog-classification, jupyter-notebook, keras, matpolotlib, pandas, pil, pillow, tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 1.22 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Dog-Classification-with-Tensorflow 

![image](https://github.com/LasithaAmarasinghe/Dog-Classification-with-Tensorflow/assets/106037441/a857021a-c305-4d4f-8a31-7ea70a54e985)

## Overview

* This is an end-to-end deep learning project using [**Tensorflow**](https://www.tensorflow.org/) and [**Keras**](https://keras.io/).

* A dataset of dog images is read, and then a convolutional neural network is trained to classify the dogs by breed.

* This repository contains all the codes and resources used to build this dog classification system.

## Steps

* Loading in data with TensorFlow and Keras

* Exploring images in data with PIL (Python Imaging Library)

* Training a neural network with TensorFlow and Keras

* Looking at model error

* Improving model accuracy with dropout

* Augmenting data with Keras

* Investigating model error

## Code

You can find the code for this project here.

* [dog classification.ipynb](https://github.com/LasithaAmarasinghe/Dog-Classification-with-Tensorflow-/blob/main/dog%20classification.ipynb)

## Technologies/Tools

* JupyerLab / [Google Colab](https://colab.research.google.com/)

* Python 3.10.12

* Tensorflow  - `pip install tensorflow`

* Python packages

    * Pandas  - `pip install pandas`

    * Pillow  - `pip install pillow`

    * Matplotlib - `pip install matplotlib`

![Python](https://img.shields.io/badge/python-3670A0?logo=python&logoColor=FFFF00)

![Jupyter Notebook](https://img.shields.io/badge/jupyter-%23FA0F00.svg?logo=jupyter&logoColor=white)

![TensorFlow](https://img.shields.io/badge/TensorFlow-%23FF6F00.svg?logo=TensorFlow&logoColor=white)

![Keras](https://img.shields.io/badge/Keras_-black?logo=keras)

![Pandas](https://img.shields.io/badge/pandas_-%20green?logo=pandas)

![Pillow](https://img.shields.io/badge/pillow_-blue)

![Matplotlib](https://img.shields.io/badge/matplotlib_-purple)

     

## Data

Data used are from the [Stanford](http://vision.stanford.edu/aditya86/ImageNetDogs/)

You can download the dog image dataset used in this project here.

* [dog_images.zip](https://drive.google.com/uc?export=download&id=1sj62C-9WKD09-8iYSeEvXmAGQoY2oFFQ) - please unzip this file into a folder called `images`.

## Output

![image](https://github.com/LasithaAmarasinghe/Dog-Classification-with-Tensorflow-/assets/106037441/05d2f9bd-c320-4082-9a20-1d64bcb1c7ef)

![image](https://github.com/LasithaAmarasinghe/Dog-Classification-with-Tensorflow/assets/106037441/e49ec227-f5c2-4958-a5b6-8378cf56274e)