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Introduction to Deep Learning
Step into the in-demand field of Deep Learning with the help of this free Deep Learning course that familiarizes you with its fundamentals and the significant concepts with relevant hands-on examples.
What you learn in Introduction to Deep Learning ?
About this Course
This online Introduction to 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
This module introduces you to the term “Deep Learning”, and you will go through its definition and an example to get an overview.
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.
This module articulates Deep Learning and discusses its history since the technology emerged.
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.
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.
With this course, you get
Free lifetime access
Learn anytime, anywhere
3.5 Hours
of self-paced video lectures
Frequently Asked Questions
What prerequisites are required to learn this Deep Learning free course?
There are no prerequisites required to enroll in this online Deep Learning free course. It is specifically designed for beginners to learn concepts from scratch.
How long does it take to complete this free Deep Learning course?
This free Introduction to Deep Learning course contains 3.5 hours of self-paced videos that learners can take up according to their convenience.
Will I have lifetime access to this free online course?
Yes. You will have lifetime access to this free online Deep Learning course.
What are my next learning options after this Deep Learning course?
You can enroll in Great Learning’s Data Science and Machine Learning PG Course By MIT to gain advanced knowledge regarding Machine Learning and earn a certificate of course completion.
Is it worth learning Deep Learning?
Yes, Deep Learning is worth learning because it can be used to achieve state-of-the-art performance in many artificial intelligence tasks, such as image classification, object detection, and language translation.
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