‘Machine learn to classify animals using their images’
I have spent the last month trying to solidify my knowledge of PyTorch framework with FreeCodeCamp and Jovian.ml and their course “Deep Learning with PyTorch: Zero to GANs”. The final step in the course was an independent project in all parts to deep learning of cause. I have chosen animal faces dataset (animal classification).
This dataset, also known as Animal Faces-HQ (AFHQ), consists of 16,130 high-quality images at 512×512 resolution.
There are three domains of classes, each providing about 5,000 images. By having multiple (three) domains and diverse images of…