A CNN model that classifies between cats and dogs, with highest validation accuracy achieved being 80.05%.
The CNN model has the architecture as below:
- Conv2D
- MaxPool2D
- Conv2D
- MaxPool2D
- Flatten
- Dense
- Dense
The dataset from Dogs & Cats Images was used to train the algorithm.