Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras

©  Navin Kumar Manaswi 2018

Navin Kumar ManaswiDeep Learning with Applications Using Python https://doi.org/10.1007/978-1-4842-3516-4_7

7. CNN in TensorFlow

Navin Kumar Manaswi¹ 

(1)

Bangalore, Karnataka, India

 

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/classify the images. In general, you create some layers in the model architecture with initial values of weight and bias. 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 (whose parameter s are trained) on ...