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Introduction to Deep Learning

Step into the in-demand field of Deep Learning with the help of this Introduction to Deep Learning course for free that familiarizes you with its fundamentals and the significant concepts with relevant hands-on examples.

4.46

Beginner

2.25 Hrs

1.2L+

Ratings

Level

Learning hours

Learners

Skills you’ll Learn

Tensorflow

CNN

RNN

LSTM

Deep learning

About this course

This online Deep Learning course aims to familiarize learners with all the crucial Deep Learning concepts currently being utilized to solve real-world problems. You will learn about the history and applications of Deep Learning and understand the role of the second wave in DL. Also, comprehend how ML differs from DL, go through the essential terms in Deep Learning called artificial neural networks, and comprehend the Deep Learning fundamentals. You will also go through the demo on Tensorflow Playground, CNN, and neural networks. Learn about the involvement of a basic set of layers in DL and learn about activation function and CNN. Gain knowledge regarding RNN, LSTM, types of chatbots, and conventional interfaces. Dig deeper into the concept of Deep Neural Networks and go through the concepts like boolean gates, artificial neurons, Rosenblatt Neuron Perceptron, and artificial neural networks and their mechanism in detail with relevant demo and code examples. Eager to dive deeper into the Machine Learning field? Great Learning offers Best Artificial Intelligence and Machine Learning Courses that are highly valued by our learners. Enroll in the program of your interest and earn a certificate of course completion that validates your industrial skills.

Course Outline

What is Deep Learning?

This module introduces you to the term “Deep Learning”, and you will go through its definition and an example to get an overview.

Where DL Fits and Where to Use DL?

Through this module, you will get a clear idea of where DL belongs and how Deep Learning, Machine Learning, and Artificial Intelligence are interconnected. You will then go through Deep Learning applications to understand the usage of DL across various domains.

Brief History

This module articulates Deep Learning and discusses its history since the technology emerged.

Why second wave?

This module focuses on needing a second wave to bring out the output. You will understand the role the second wave plays in Deep Learning.

ML vs. DL

Deep Learning is the subset of Machine Learning, and through this module, you will understand the fine line between Machine Learning and Deep Learning. In order to help you understand it better, you will go through a car classification example.

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Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Is this course free?

Will I get a certificate after completing this Introduction to Deep Learning course?

Yes, you will be rewarded with a free Deep Learning Certificate of course completion after completing all the modules and the quiz at the end of this free Deep Learning course.

How much does this Deep Learning course cost?

This Introduction to Deep Learning course is offered for free by Great Learning Academy.

What knowledge and skills will I gain upon completing this Deep Learning course?

By the end of this Introduction to Deep Learning free course, you will have a brief knowledge of it. You will learn various critical Deep Learning concepts and terms like artificial neural networks, CNN, deep neural networks, and more. You will go through various relevant Deep Learning examples and understand its different frameworks. Through a thorough understanding of these concepts, you will be able to comprehend the Deep Learning applications in real-world problems.