-
Classifying Dog Breeds Using Convolutional Neural Networks
- "A convolutional neural network is a type of neural network whose architecture can turn images into training data and learn from them. In this case, pictures of dogs and humans are learned and the trained neural network can tell the difference between them and even tell you what breed of dog is in the image."
-
Overview
- This is project code and report documentation
- As part of a Machine Learning Engineer Nanodegree program from Udacity, this project was part of the 'Deep Learning' section
- Useful as a reference for beginning deep learning in Python
-
Getting Started
- Installation & Prerequisites
- Python Version 3.0
- Jupyter Notebooks
- Installation & Prerequisites
-
Included files:
- Classifying_Dog_Breeds.ipynb : Jupyter notebook for the project
- Classifying_Dog_Breeds.py : Python code for the project
- Classifying_Dog_breeds_CW.html : HTML report for the project
caseywhorton / classifying-dog-breeds-cw Goto Github PK
View Code? Open in Web Editor NEWMachine Learning Engineer Nanodegree Project Documentation