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Indiana Topics in Computer Science

Creating an Image Recognizing AI

Students will learn to utilize TensorFlow for building image prediction models and selecting appropriate datasets. This module provides hands-on experience with TensorFlow, guiding through the creation of AI models and the critical process of dataset validation.

Lessons

10.1 Introduction to TensorFlow

  • Creating Neural Networks with TensorFlow
  • Creating Neural Networks with TensorFlow
  • Introduction to Colab
  • Lab: The Temperature Conversion Model
  • Creating a Model for the Pythagorean Theorem

10.2 Creating an Image Prediction Model

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

10.3 Selecting Valid Datasets

  • Selecting Valid Datasets
  • Selecting Valid Datasets
  • Lab: Face Recognition and Datasets
  • Cats and Dogs Revisted

Courses that include this module