Building a Convolutional Neural Network for Image Classification with Tensorflow

Convolutional Neural Network (CNN) is a special type of deep neural network that performs impressively in computer vision problems such as image classification, object detection, etc. In this article, we are going to create an image classifier with Tensorflow by implementing a CNN to classify cats & dogs. With traditional programming is it not possible to build scalable solutions for problems like computer vision since it is not feasible to write an algorithm that is generalized enough to identify the nature of images. With machine learning, we can build an approximation that is sufficient enough for use-cases by training a model for given examples and predict for unseen data. CNN is constructed with multiple convolution layers, pooling layers, and dense layers.