In this tutorial, we will use transfer learning and fine-tuning with Python, Keras, and deep learning to classify images from the dogs vs cats dataset. We will use the VGG 19 model pre-trained on ImageNet as our base model for feature extraction.
In deep learning, a convolutional neural network is a class of deep neural networks that have been used with great success in computer vision tasks such as image classification, object detection, image segmentation, ...