This repository contains code to train a model to identify dogs and cats using Convolutional Neural Network (CNN). The model collected the trainind data of 8000 images and test the model using 20 percent i.e 2000 images in a total of 10000 images.

The link to the dataset can be obtained here:

Sample size: 10000 Training size: 8000, Validation size: 2000 Batch size: 32 Optimizer: Adam Loss: Mean Square Entropy No. of epochs: 1000 Activation function: RELU

To run the code load the ipynb file on jupyter notebook and load the dataset in your system from the above drive location.