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Applications of AI and Machine Learning

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Creating an Image Recognizing AI
Description

In this lesson, students are introduced to TensorFlow and the basics for creating a Neural Network in TensorFlow.

Objective

Students will be able to:

  • Access and run Python commands from the TensorFlow library in a Colab environment
  • Create and modify basic Neural Network models using TensorFlow
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
Description

In this lesson, students will learn about what key characteristics make up a good training dataset and explore the impact of using a biased dataset on a face-recognition model.

Objective

Students will be able to:

  • Explain how a biased dataset can impact the quality of a model
  • Understand the qualities that make up a good training dataset