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.
Skills you’ll Learn
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.
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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.
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Skill & tools
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