Introduction to AI with Python
Regression neural network
A course by Rodrigo Montemayor , Programmer
About the video: Regression neural network
Overview
“In this lesson we will create our first neural network, which we will use to teach you a regression exercise.”
In this video lesson Rodrigo Montemayor addresses the topic: Regression neural network, 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 create your first neural network and use it to solve a regression problem. Let's start. We will embark on creating our initial neural network. To keep things straightforward. we'll tackle the same problem addressed in the linear regression exercise using SKlearn. However. this time. we'll employ a network for the task. For this purpose. tensorFlow will be our tool of choice. a Machine Learning library that allows us to create neural networks. In my experience. while both TensorFlow and PyTorch are widely utilized in the industry for deep learning applications. tenso...”
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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