Building Image Classification Solutions Using Keras and Transfer Learning

Focused View

Pratheerth Padman

1:24:49

34 View

01.Course Overview

0101.Course Overview.mp4

01:39

02.Classifying Images - Overview and Applications

0201.Prerequisites.mp4

01:10

0202.Module Introduction.mp4

00:51

0203.Basics of Image Classification.mp4

01:47

0204.Neural Network Overview.mp4

02:17

0205.Working of a Neural Network - 1.mp4

01:37

0206.Working of a Neural Network - 2.mp4

01:44

0207.Demo Installing Libraries.mp4

01:21

03.Building a Convolutional Neural Network to Classify Images

0301.Module Introduction.mp4

01:15

0302.Basics of Computer Vision.mp4

02:35

0303.Introduction to Convolutional Neural Networks.mp4

00:51

0304.Convolutions.mp4

05:34

0305.Activation and Pooling.mp4

03:47

0306.Classification.mp4

01:09

0307.Demo Introduction & Dataset Overview.mp4

01:30

0308.Demo Creating the Model.mp4

07:39

0309.Demo Test Set Predictions.mp4

01:01

0310.Summary and Whats Next.mp4

00:54

04.Improving Training and Performance using Transfer Learning

0401.Module Introduction.mp4

00:48

0402.Better Performance - When and How.mp4

01:52

0403.Transfer Learning - Intro and Design.mp4

05:54

0404.Transfer Learning Use Case Scenarios.mp4

04:50

0405.Demo Implementation of Transfer Learning.mp4

05:30

0406.Summary and Whats Next.mp4

00:43

05.Enhancing Performance and Spotting Pitfalls

0501.Module Introduction.mp4

01:12

0502.Gradient Descent.mp4

04:52

0503.Enhancing Performance - Image Augmentation.mp4

05:32

0504.Enhancing Performance - Hyperparameter Tuning.mp4

03:36

0505.Overfitting and Underfitting.mp4

04:15

0506.Things to Consider.mp4

01:56

0507.Demo Implementing Performance Enhancing Techniques on Transfer Learning Model.mp4

04:20

0508.Summary.mp4

00:48

Description

This is a course in which you’ll go all the way from being introduced to image classification to eventually learning how to implement and tune convolutional neural networks.

What You'll Learn?

In a world with ever-expanding, abundant image data, image classification is a low hanging fruit that has found its way to a multitude of applications ranging from manufacturing to healthcare and even security. In this course, Building Image Classification Solutions Using Keras and Transfer Learning, you will learn both about image classification, and how to eventually implement and tune neural networks. First, you will be introduced to the fundamentals of how a neural network works. Next, you will discover the basics of how to build an image classifier – from scratch! Then, you will explore how the researchers from top universities and corporate giants have approached this problem. Next, you will delve into the problem you’ve encountered to their “pre-build” models. Finally, you will be briefed on how to improve the performance of your classifier and the pitfalls you’re likely to encounter while going about building one. When you are finished with this course, you will have a foundational knowledge of image classification that will help you solve your own problems in computer vision.

More details

User Reviews

Rating

average 0

Total votes0

Focused display

Python

Machine Learning

Artificial Intelligence

Pratheerth Padman

Instructor's Courses

Pratheerth is a Data Scientist who has entered the field after an eclectic mix of educational and work experiences. He has a Bachelor's in Engineering in Mechatronics from India, Masters in Engineering Management from Australia and then a couple of years of work experience as a Production Engineer in the Middle East. Then when the A.I bug bit him, he dropped everything to dedicate his life to the field. He is currently working on mentoring, course creation and freelancing as a Data Scientist.

Pluralsight

View courses Pluralsight

Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.