Classification of dogs and cats using CNN

Objectivce

1. Binary classification between dogs and cats

2. Multi-class classification between dog and cat breeds

1. Initially, a neural network using manual layers was created.
2. Then, pre-trained models were applied to the current problem.
3. Apply transfer learning.

The best resulting classification in the binary problem is:

1. Confusion matrix of the best results for binary classification

The best classification confusion matrix in the multiclass problem with 84.5% accuracy is:

1. Confusion matrix of the best results for multiclass classification