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daily Instructor: Dr. Adrian WernerAbout this Course
Introduction to Neural Networks: Fundamentals and Applications
In this course, you will explore the exciting field of neural networks, which has revolutionized various domains such as computer vision, natural language processing, and robotics. Neural networks have the ability to learn from data and make complex decisions, resembling the functioning of the human brain. This course will provide you with a solid foundation in the fundamentals of neural networks and their practical applications.
The course will begin by introducing you to the basic concepts of neural networks, including neurons, activation functions, and feedforward propagation. You will learn about the different types of neural networks, such as feedforward neural networks, recurrent neural networks, and convolutional neural networks, and understand their unique characteristics and applications.
As you progress through the course, you will delve into the mathematics behind neural networks, including linear algebra and calculus. You will gain an understanding of how neural networks are trained using techniques like gradient descent and backpropagation, enabling them to learn from data and make accurate predictions.
The course will also cover advanced topics in neural networks, including regularization techniques, optimization algorithms, and model evaluation. You will explore practical applications of neural networks, such as image classification, natural language processing, and time series analysis. You will learn how to implement neural networks using popular frameworks like TensorFlow and Keras.
Throughout the course, you will work on hands-on exercises and projects that will allow you to apply the concepts and techniques learned. By the end of the course, you will have a solid understanding of neural networks, their underlying principles, and their wide-ranging applications.
Whether you are a student, researcher, or professional looking to enhance your skills in artificial intelligence and machine learning, this course will provide you with a strong foundation in neural networks and empower you to leverage their potential in various domains.
Course Features
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Frequently Asked Questions
For detailed information about our Introduction to Neural Networks: Fundamentals and Applications course, including what you’ll learn and course objectives, please visit the "About This Course" section on this page.
The course is online, but you can select Networking Events at enrollment to meet people in person. This feature may not always be available.
The course doesn't have a fixed duration. It has 24 questions, and each question takes about 5 to 30 minutes to answer. You’ll receive your certificate once you’ve answered most of the questions. Learn more here.
The course is always available, so you can start at any time that works for you!
We partner with various organizations to curate and select the best networking events, webinars, and instructor Q&A sessions throughout the year. You’ll receive more information about these opportunities when you enroll. This feature may not always be available.
You will receive a Certificate of Excellence when you score 75% or higher in the course, showing that you have learned about the course.
An Honorary Certificate allows you to receive a Certificate of Commitment right after enrolling, even if you haven’t finished the course. It’s ideal for busy professionals who need certification quickly but plan to complete the course later.
The price is based on your enrollment duration and selected features. Discounts increase with more days and features. You can also choose from plans for bundled options.
Choose a duration that fits your schedule. You can enroll for up to 7 days at a time.
No, you won't. Once you earn your certificate, you retain access to it and the completed exercises for life, even after your subscription expires. However, to take new exercises, you'll need to re-enroll if your subscription has run out.
To verify a certificate, visit the Verify Certificate page on our website and enter the 12-digit certificate ID. You can then confirm the authenticity of the certificate and review details such as the enrollment date, completed exercises, and their corresponding levels and scores.
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