Introduction to AI with Python

Overview

“I'll continue by showing you how to run a classification model, using the MNIST dataset to classify handwritten numbers.”

In this video lesson Rodrigo Montemayor addresses the topic: Classification Neural Network 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

“Let's start making our model and we will do it the same as in the previous lesson, specifying tf.keras.sequential. We open parentheses and we open brackets to specify the different layers. Now, here we have a special case. We are talking about we have images, I can put an image into a neural network and what we do is that if we have 28 pixels by 28 pixels, Technically we can put them all in a single column from top to bottom, taking for example all those in column 1. Then we pass column 2 down here, we pass column 3 below, etc Until instead of having 28 by 28, we have 784 pixels from top to...”

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