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Neural Networks Demystified for Data Professionals
Neural networks are the foundation for so many applications in the field of machine learning and artificial intelligence. This course will demystify what they are, how they work, and how they can be used in a variety of real-world applications.
In the current era of artificial intelligence, a solid understanding of neural networks is essential for anyone looking to keep their skills fresh.
In this course, Neural Networks Demystified for Data Professionals, you'll gain an understanding of neural networks and how they're used in real-world applications.
First, you'll explore the fundamental concepts and terminology behind neural networks and how they came to be.
Next, you'll discover the basic building blocks and architectures of a neural network and how they learn-such as nodes, layers, input, weights, and activation functions.
Finally, you'll learn about the applications and impact of deep learning in various industries.
When you're finished with this course, you'll have the foundational knowledge of neural networks needed to pursue other studies in artificial intelligence.
Homepage:
Download link
rapidgator.net:
nitroflare.com:
Published 1/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 48 KHz
Language: English | Size: 60.88 MB | Duration: 24m 7s
MP4 | Video: h264, 1920x1080 | Audio: AAC, 48 KHz
Language: English | Size: 60.88 MB | Duration: 24m 7s
Neural networks are the foundation for so many applications in the field of machine learning and artificial intelligence. This course will demystify what they are, how they work, and how they can be used in a variety of real-world applications.
In the current era of artificial intelligence, a solid understanding of neural networks is essential for anyone looking to keep their skills fresh.
In this course, Neural Networks Demystified for Data Professionals, you'll gain an understanding of neural networks and how they're used in real-world applications.
First, you'll explore the fundamental concepts and terminology behind neural networks and how they came to be.
Next, you'll discover the basic building blocks and architectures of a neural network and how they learn-such as nodes, layers, input, weights, and activation functions.
Finally, you'll learn about the applications and impact of deep learning in various industries.
When you're finished with this course, you'll have the foundational knowledge of neural networks needed to pursue other studies in artificial intelligence.
Homepage:
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Download link
rapidgator.net:
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nitroflare.com:
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