Introduction to AI with Python

Overview

“In this lesson we will talk about the transfer of learning, which allows us to obtain excellent results even if we have very little training data. We will see how to create our own dataset for Tensorflow and train a model that classifies any object we want.”

In this video lesson Rodrigo Montemayor addresses the topic: Learning Transfer 1, 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 we will talk about learning transfer, in which we can take existing and pre-trained models and apply them to solve our own problems. Let's get started. Creating and training our own models often takes a long time and mainly we need a lot of training data so that if for example we have a convolutional network can learn to do classification or detection properly. However, we can use a trick called transfer learning or transfer learning in which we can take a model that was already trained by someone else and We can take models with thousands of neurons and millions of parameter...”

This transcript is automatically generated, so it may contain mistakes.

Course summary for: Introduction to AI with Python

• Level: Beginner
• 99% positive reviews (365)
• 22531 students
• 6 units
• 29 lessons (4h 22m)
• 16 downloads

• Category

  Artificial Intelligence, Web & App Design

• Areas

  AI programming, Artificial Intelligence, Programming, Web Development