Introduction to AI with Python
Learning transfer 2
A course by Rodrigo Montemayor , Programmer
About the video: Learning transfer 2
Overview
“Finally, I'll show you how to train an existing model using transfer learning using our dataset, and then make predictions with it. ”
In this video lesson Rodrigo Montemayor addresses the topic: Learning transfer 2, 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
“Now, let's get to the learning transfer part. And for that we are going to import two things. Import TensorFlow as TF and import TensorFlow Hub as Hub. TensorFlow Hub is a site where there are many pre-trained models. Right here it tells you that there are already Machine Learning models ready to deploy. Specifically, I say there are many depending on the problem that are trying to solve, I'm going to go to the images part, classification and the one I want to look for now because it is one of the lightest but with good results is one called MobileNet. Specifically this one, MobileNet versi...”
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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