Bird-CNN

A convolutional neural network created to correctly categorize different bird species

The goal

Compare the results from three different CNN running on two different algorithms using accuracy, average loss, and confusion matrices.

The Networks

1. AlexNet
2. VGGNet
3. ResNet

The Algorithms

1. SGD
2. Adam

The Documents

• The data is located in the data/bird_species_v1 folder
  • test folder contains the data used in the testing
  • train folder contains the data used to train the algorithms
• Bero_Project2.ipynb is the Google Collab Notebook used to conduct the experiment