InceptionV3: A Deep Learning Model for Image Recognition

InceptionV3 is a deep convolutional neural network architecture used for image recognition and classification tasks. It was developed by Google researchers and is a successor to the earlier Inception and InceptionV2 models. InceptionV3 uses a combination of convolutional layers, pooling layers, and inception modules to extract features from images and classify them into different categories. It has been trained on a large dataset of images and can recognize a wide range of objects with high accuracy. InceptionV3 is widely used in computer vision applications such as object detection, face recognition, and image segmentation.