Skip to Main Content
Deep Learning and its Applications using Python
book

Deep Learning and its Applications using Python

by Niha Kamal Basha, Surbhi Bhatia Khan, Abhishek Kumar, Arwa Mashat
October 2023
Beginner to intermediate content levelBeginner to intermediate
256 pages
5h 42m
English
Wiley-Scrivener
Content preview from Deep Learning and its Applications using Python

5Convolutional Neural Networks in Tensorflow

Among deep learning models, Convolutional Neural Network is an algorithm, which acts as an artificial neuron (neural network). This neural network [1] has been widely used to deal with image input for image processing/recognition/classification. Initially, it considers an input, provide importance by prioritizing various objects/features using weigh and bias parameters to differentiate among one another. Examples of convolutional neural network are face recognition, image classification, object tracking, natural language processing, speech recognition and so on. In this chapter, the working of convolutional neural network with its architecture and applicability of convolutional neural network using python programing will be discussed.

5.1 CNN Architectures

In CNN architecture, multiple layers are involved is depicted in Figure 5.1.

Convolutional Neural Network [2] consist of important three layers for processing an input. They are i) convolution layer, ii) fully-connected layer, and iii) pooling layer. The number of layers at each level may vary based on the demand of the model being used i.e., for text or image or signal processing. Which means feature extraction, classification, segmentation and for auto correlation of data. Each set of nodes analyze particular part of input to obtain informative data. This model consists of different kind of layers. They are listed below with short description.

  1. Convolutional Layer – It consists ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Python Deep Learning - Third Edition

Python Deep Learning - Third Edition

Ivan Vasilev, Valentino Zocca
Generative Deep Learning with Python

Generative Deep Learning with Python

Cuantum Technologies LLC
Data-Centric Machine Learning with Python

Data-Centric Machine Learning with Python

Jonas Christensen, Nakul Bajaj, Manmohan Gosada
Math for Deep Learning

Math for Deep Learning

Ronald T. Kneusel

Publisher Resources

ISBN: 9781394166466Purchase Link