Basics of Deep Learning
Basics of Deep Learning, available at Free, has an average rating of 4.42, with 7 lectures, 6 quizzes, based on 569 reviews, and has 26013 subscribers.
You will learn about Basics of Deep Learning Evolution of deep neural network and their application. Concepts behind neural network Basic details on ANN, CNN and RNN This course is ideal for individuals who are All Developers, Business Managers, Functional leads, AI enthusiasts It is particularly useful for All Developers, Business Managers, Functional leads, AI enthusiasts.
Enroll now: Basics of Deep Learning
Summary
Title: Basics of Deep Learning
Price: Free
Average Rating: 4.42
Number of Lectures: 7
Number of Quizzes: 6
Number of Published Lectures: 7
Number of Published Quizzes: 6
Number of Curriculum Items: 13
Number of Published Curriculum Objects: 13
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
- Basics of Deep Learning
- Evolution of deep neural network and their application.
- Concepts behind neural network
- Basic details on ANN, CNN and RNN
Who Should Attend
- All Developers, Business Managers, Functional leads, AI enthusiasts
Target Audiences
- All Developers, Business Managers, Functional leads, AI enthusiasts
Have you ever wondered what is Deep Learning and how it is helping today in powering Artificial Intelligence?
This basic course in Deep Learning may unravel some of them. You dont need any technical or coding background to know the basic fundamentals of Neural Network. This course is designed for functional consultants, product managers as well as developers and architects.
Contents of the course:
1. Inspiration for Deep Learning
2. Key Concepts of Deep Learning
3. Improving the model
4. Convolutional network
5. Recurrent network
6. Word representation
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Chapter 2: Lecture 2 – Inspiration for Deep Learning
Lecture 1: Background
Chapter 3: Section 3 – Key Concepts of Deep Learning
Lecture 1: Key Concepts of Deep Learning
Chapter 4: Lecture 4 – Improving the model
Lecture 1: Improving the model
Chapter 5: Section 5 : Convolutional Network
Lecture 1: Lecture 5 – Convolutional network
Chapter 6: Lecture 6: Recurrent network
Lecture 1: Recurrent network
Chapter 7: Lecture 7 : Word representation
Lecture 1: Word representation
Instructors
-
Sunil Mishra
Instructor at Udemy
Rating Distribution
- 1 stars: 12 votes
- 2 stars: 19 votes
- 3 stars: 111 votes
- 4 stars: 210 votes
- 5 stars: 217 votes
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
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Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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