My first Deep Learning project - A Convolutional Neural Network that classifies images of Nicolas Cage

Check out the medium article I wrote on this project here

Purpose:

In this project I wanted to learn the basics of neural networks, deep learning, and convolution. I also wanted to apply a goofy twist to the project with Nicolas Cage images.

Example output:

Built with:

• python=3.6.4
• numpy=1.16.4
• Tensorflow=1.14.0
• Keras=2.2.4

Files:

• Nic_Cage_SourceCode.ipynb - Source code for the model
• Nic_Cage_Explanation.ipynb - The full model source code along with explanations of the code and explanations of concepts like Convolution, Maxpooling, and Backpropagation
• Jupyter_Images - contains the visual aid image files used in the explanation notebook
• Dataset - contains the images used for training the classifier. It contains 2 classes. Class0 being the random "not Nicolas Cage" images and Class1 being the images of Nicolas Cage
• Predict - contains some funny Nicolas Cage memes used for testing out our classifier after it's been trained

Usage

To start the notebook run jupyter notebook in terminal