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Applications of AI and Machine Learning

Creating an Image Recognizing AI

Students explore machine learning models using TensorFlow to create image recognition models. Along the way, students will explore how different model parameters impact model accuracy.

Lessons

2.1 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

2.2 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

2.3 Selecting Valid Datasets

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

Courses that include this module