Literacy Essentials: Core Concepts Deep Learning

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Pratheerth Padman

1:18:28

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01. Course Overview

01. Course Overview.mp4

01:46

02. Introduction to Deep Learning

02. Course Introduction and Module Overview.mp4

03:21

03. What Is Deep Learning.mp4

04:04

04. Applications of Deep Learning in the Industry.mp4

04:05

05. Deep Learning Frameworks.mp4

03:29

06. Demo-Introduction to the Problem and Dataset.mp4

01:37

07. Demo-Setting up Your Environment.mp4

02:43

08. Module Summary.mp4

00:55

03. The Inner Workings of Deep Learning

09. Module Overview.mp4

00:51

10. The Perceptron-From Biological to Artificial Neurons.mp4

03:31

11. Activation Functions.mp4

04:37

12. The Design and Working of a Neural Network.mp4

05:02

13. Gradient Descent.mp4

03:54

14. Demo-Basic Dataset Exploration.mp4

05:28

15. Demo-Preparing the Data - Part 1.mp4

06:02

16. Demo-Preparing the Data - Part 2.mp4

04:19

17. Demo-Building Training and Evaluating a Neural Network.mp4

08:14

18. Module Summary.mp4

00:48

04. Types of Neural Networks and Their Uses

19. Module Overview.mp4

01:11

20. Convolutional Neural Networks.mp4

02:10

21. Recurrent Neural Networks.mp4

02:12

22. Long Short-term Memory Networks.mp4

02:08

23. Generative Adversarial Networks.mp4

02:41

24. Autoencoders.mp4

02:01

25. Module Summary and Course Feedback.mp4

01:19

Description

Deep Learning is an essential skill for a data scientist these days. This course will teach you how neural networks work, where they’re used, and how you can apply them to your own problems.

What You'll Learn?

The availability and rise in quality of data, coupled with powerful hardware, has caused massive interest in the field of deep learning. It has become essential for a data scientist or machine learning engineer.

In this course, Literacy Essentials: Core Concepts Deep Learning, you’ll understand and appreciate the inner workings of deep learning and learn how to apply it to a problem.

First, you’ll get an overview of what deep learning is, what it is used for in the industry, and how it differs from machine learning.

Next, you’ll dive deeper into the world of deep learning and understand how the whole operation works.

Finally, you’ll have a quick look at the different types of neural networks and the problems they solve.

When you’re finished with this course, you’ll have a firm understanding of deep learning and the ability to tackle basic problems with it.

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Deep Learning

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

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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.