Create an algorithm to distinguish dogs from cats. Download cats vs dogs dataset. Keras image classification classifies an image as containing either a dog or a cat (using kaggle's public dataset), but could easily be extended to other image classification problems to run these scripts/notebooks, you must have keras, numpy, scipy, and h5py installed, and enabling gpu acceleration is highly recommended if that's an option.
download cats vs dogs dataset
Adding new train dataset: if you want to add new dataset to datasets, you create a directory and rename what you want to add category (like 'cat' or 'phone') if you want to add a new training image to previously category datasets, you add a image to about category directory and if you have npy files in data folder delete npy_train_data folder. Create an algorithm to distinguish dogs from cats. create an algorithm to distinguish dogs from cats. create an algorithm to distinguish dogs from cats. Distinguish images of dogs from cats. distinguish images of dogs from cats. distinguish images of dogs from cats.
