Types/History of Neural Networks

• Perceptron
• Backpropogation
  • Allowed to efficiently train ANN, CNN, and RNN
• Basic Neural Network architecture
  • Input Layer
    • The first layer of nodes
    • Essentially is the observation of the input to be translated for processing by the later layers
  • Hidden Layer
    • Made up of nodes but are more like neurons
    • Manipulate/weigh/scale the data to interpret it
  • Output Layer
    • Maps to the