Cat vs Dog Image Classifier

-- Project Status: Completed

Project Intro/Objective

The purpose of this project is to classify images of dogs and cats using Tensorflow 2.0 and Keras to create a convolutional neural network that correctly classifies images of cats and dogs at least 63% of the time.

Methods Used

• Convolutional Neural Network
• Machine Learning
• Data Augmentation
• Predictive Modeling
• Data Visualization

Technologies

• Python
• Tensorflow 2.0
• Matplotlib
• Jupyter
• Numpy
• Github
• OS

Featured Notebooks/Analysis/Deliverables

• cat_vs_dog.ipynb