Introduction to AI with Python
Intuition and how neural networks learn
A course by Rodrigo Montemayor , Programmer
About the video: Intuition and how neural networks learn
Overview
“In this lesson, you will intuitively learn why neural networks can generate learning and be used to make predictions, as well as the process they use to learn.”
In this video lesson Rodrigo Montemayor addresses the topic: Intuition and how neural networks learn, which is part of the Domestika online course: Introduction to AI with Python. Learn the basics of artificial intelligence and how to apply it in problem-solving.
Partial transcription of the video
“In this lesson you will learn intuitively why neural networks can generate learning and used to make predictions, as well as the process they use to train. Let's get started. Neural networks are a structure inspired by how the human brain works and it is widely used for Machine Learning due to the incredible results we can obtain and that it is applicable to all types of problems. However, before using them, let's fundamentally look at why they work and how they can generate learning. It all starts with something called a perceptron, which is a simple concept that allows us to make interest...”
This transcript is automatically generated, so it may contain mistakes.
Course summary for: Introduction to AI with Python
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Category
Artificial Intelligence, Web & App Design -
Areas
AI programming, Artificial Intelligence, Programming, Web Development
Rodrigo Montemayor
A course by Rodrigo Montemayor
Rodrigo Montemayor has been a programmer for more than 20 years. He has worked with many of the largest companies in Mexico and also some international ones in web, mobile, and desktop development. In addition, through his own company, he has created software for all types of clients, such as various technology brands, cybersecurity, automation, and artificial intelligence.
On the other hand, he shares content on the RingaTech Youtube channel with the aim of teaching and informing about technology, cybersecurity, and artificial intelligence. As part of the channel, he has developed some projects and games whose code is available to the public.
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- 29 lessons (4h 22m)
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- Level: Beginner
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