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Applications of AI and Machine Learning

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Lesson 2.2 Creating an Image Prediction Model

Description

In this lesson, students will learn about convolutional neural networks in order to create an image prediction model. Students will have the opportunity to apply these to a TensorFlow model to make predictions about images.

Objective

Students will be able to:

  • Understand what a convolutional neural network is and how it differs from other models they have already seen.
  • Create a basic image classification model using TensorFlow
  • (optional) Understand how convolutions and max pooling are created and how they simplify the model

Activities

These are all the activities included in the lesson

2.2.1 Image Recognition Models
2.2.2 Image Classification Quiz
2.2.3 Deep Dive into Convolutions and Max Pooling (Optional)
2.2.4 Lab: Weather Image Classification
2.2.5 Create a Dog vs Cats Image Classification Model