facebook-pixel
$79.99
Certification

Industry recognized certification enables you to add this credential to your resume upon completion of all courses

Need Custom Training for Your Team?
Get Quote
Call Us

Toll Free (844) 397-3739

Inquire About This Course
Instructor
Explico , Instructor - Introduction to Deep Learning

Explico

Explico is a management consultancy that leverages depth and breadth of business and financial expertise to define, analyze, and solve business needs. They have the ability to solve business needs no matter how complex. Explico's approach draws on business and financial concepts, academic knowledge, and real-world business experience.

Instructor: Explico

Get introduced to Deep Learning and learn history of Deep Learning.

Understand what is Deep Learning, its history, Deep Learning techniques, and applications.

Course Description

Dive Deeper into what is Deep Learning. Gain a perspective on challenges. Understand supervised and unsupervised techniques. Look at practical application.

What am I going to get from this course?

Get introduced to Deep Learning and learn history of Deep Learning.
Dive Deeper into what is Deep Learning.
Gain a perspective on challenges.
Understand supervised and unsupervised techniques.
Look at practical application.

Prerequisites and Target Audience

What will students need to know or do before starting this course?

No prerequisites required.

Who should take this course? Who should not?

For anyone who wants to learn the basics of Deep Learning and its history.
 

Curriculum

Module 1: Deep Learning

Lecture 1 Introduction

Introduction to deep learning and definition of learning.

Lecture 2 History

Brief history.

Lecture 3 Supervised Deep Learning

Supervised Deep Learning techniques including Multilayer Perceptron, Deep Stack Network, and Convolutional Neural Network.

Lecture 4 Unsupervised Deep Learning

Among the unsupervised techniques are: Deep Belief Network, Boltzman Machine, Restricted Boltzman Machine, and Autoencoders.

Lecture 5 Challenges

Challenges of deep learning including data and modeling.

Lecture 6 Applications

Image Recognition application with progressive complexity and models.

Lecture 7 Applications 2

Translation application with progressive complexity and models.

Lecture 8 Conclusion

Course summary.

350