6.2. Cats and Dogs Image Classification with a CNN
In this section, we will move forward with the implementation of the convolutional neural network in Python. We know that a convolutional neural network can learn to identify the related features on a 2D map, such as images. In this project, we will solve the image classification task with CNN. Given a set of images, the task is to predict whether an image contains a cat or a dog.
Importing the Dataset and Required Libraries
The dataset for this project consists of images of cats and dogs. The dataset can be downloaded directly from this Kaggle Link (https://www.kaggle.com/c/dogs-vs-cats).
The dataset is also available inside the Animal Datasets, which is located inside the Datasets folder in the GitHub and SharePoint repositories. The original dataset consists of 2,500 images. But the dataset that we are going to use will be smaller and will consist of 10,000 images. Out of 10,000 images, 8,000 images are used for training, while 2,000...