Introduction to Convolution Process of CNN

Offered byGreat Learning

Introduction to Convolution Process of CNN
at
Great Learning
Overview

Duration	1 hour
Total fee	Free
Mode of learning	Online
Difficulty level	Intermediate
Official Website	Explore Free Course
Credential	Certificate

Introduction to Convolution Process of CNN
at
Great Learning
Highlights

Earn a certificate of completion from Great Learning

Introduction to Convolution Process of CNN
at
Great Learning
Course details

More about this course

In this session, we will talk about Digital image, the feature of digital image, Convolution process to locate features of image and pooling features such as max and average pooling
We will understand in detail about light wells, pixels, image as numerical grid and function, image features such as pixel gradient as edges etc
We will also uncover kernels and various filters along with feature maps in the Convolution process of CNN

Introduction to Convolution Process of CNN
at
Great Learning
Curriculum

Syllabus

Array

Introduction to Convolution Process of CNN
at
Great Learning
Faculty details

Prof. Mukesh Rao

Designation : Director- Data Science Description : Prof. Mukesh Rao is an Adjunct Faculty at Great Lakes for Big Data and Machine Learning. Mukesh has over 20 years of industry experience in Market Research, Project Management, and Data Science. Mukesh has conducted over 100 corporate trainings. Data Science training covers all the stages of CRISP DM, tools and techniques used in each stage, machine learning algorithms and their application. Big Data training covers core Apache Hadoop technologies including HDFS, YARN, Map Reduce, PIG, HIVE, SQOOP, FLUME, SPARK and MongoDB.