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• Module 1: RNNs & LSTMs
  • Objectives:
    1. Describe recurrent neural network architecture
    2. Use an LSTM to generate text based on some input
• Module 2: CNNs
  • Objectives:
    1. Describe convolutions and convolutions within neural networks
    2. Apply pre-trained CNNs to image classification problems
• Module 3: Autoencoders
  • Objectives:
    1. Describe the componenets of an autoencoder
    2. Train an autoencoder
    3. Apply an autoencoder to a basic information retreval problem
• Module 4: Artificial General Intelligence & the Future
  • Objectives:
    1. Describe the history of artificial intelligence research
    2. Know the important research achievements in AI
    3. Delineate the ethnical challenges faces AI

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