Course Features
Duration
67 minutes
Delivery Method
Online
Available on
Downloadable Courses
Accessibility
Mobile, Desktop, Laptop
Language
English
Subtitles
English
Level
Beginner
Teaching Type
Self Paced
Video Content
67 minutes
Course Description
Course Overview
International Faculty
Post Course Interactions
Hands-On Training,Instructor-Moderated Discussions
Skills You Will Gain
What You Will Learn
Learning frameworks to choose from
Caffe, which is written with speed, expression, and modularity in mind, is a great contender to be your framework of choice
In this course, Deep Learning with Caffe, you’ll learn to use Caffe to build a convolutional neural network that will help you classify a given set of images
First, you’ll explore what deep learning is, how it differs from traditional machine learning, and how a neural network functions
Next, while building your very own convolutional neural network, you’ll learn how to prepare data for deep learning, define the model and solver, and train the model
Finally, you’ll discover how to improve the performance of your model using transfer learning
When you’re finished with this course, you’ll have the skills and knowledge necessary to build your very own CNN using Caffe that’ll help solve custom image classification problems
Course Content
Module 1: Demystifying Deep Learning and Image Classification
1. Course and Module Introduction
2. What Is Deep Learning?
3. Basics of a Neural Network
4. Working of a Neural Network
5. Gradient Descent
6. Image Classification - Overview and Applications
7. Demo: Installinging the Required Libraries
8. Summary
Course Instructors
Pratheerth Padman
Instructor