Project Overview
Welcome to the Convolutional Neural Networks (CNN) project! In this project, you will learn how to build a pipeline to process real-world, user-supplied images. Given an image of a dog, your algorithm will identify an estimate of the canine’s breed. If supplied an image of a human, the code will identify the resembling dog breed.
Along with exploring state-of-the-art CNN models for classification, you will make important design decisions about the user experience for your app. Our goal is that by completing this lab, you understand the challenges involved in piecing together a series of models designed to perform various tasks in a data processing pipeline. Each model has its strengths and weaknesses, and engineering a real-world application often involves solving many problems without a perfect answer. Your imperfect solution will nonetheless create a fun user experience!
Project Requirements
- Basic Python
- Understand Machine Learning Code
Project Instructions
Clone the project from the GitHub repository.
Project Contribution
- If you want to Contribute to make project better.
- Clone the repo.
- Open the "dog_app.ipynb" in jupyter notebook.
- And run the first block starts with
!wget ......that downloads the data - After downloading it comment those line
#and start running block of code from up to down!