What are the differences between Machine Learning and Deep Learning?

  • Input layer consisting of a time series data or pixels of an image
  • Hidden Layer called weights; it’s learned while the neural network is being trained
  • The output layer is the final layer that provides a predictive analysis based on the input that has been fed into the network.

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