Deep Learning Related Projects
The Data set contained 25000 entries of cats and dogs. Managed to get accuracy of 99% in less than 7 Epochs
Confusion matrix showed that classifier needs to be performing better on dogs.
When I plotted the loss i found out that most of the dogs were misclassified because there is a kind of distortion in it.
