CNN in TensorFlow

Abstract

This chapter will demonstrate how to use TensorFlow to build a CNN model. A CNN model can help you build an image classifier that can predict and classify the images. In general, you create some layers in the model architecture with initial values of weight and bias. You will learn how to code in TensorFlow for building CNN models. Then you tune weight and bias with the help of a training data set. There is another approach that involves using a pretrained model such as InceptionV3 to classify the images. You can use this transfer learning approach where you add some layers on top of layers of pretrained models. Here, you will learn how to build an object detector.