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This exercise asks you to implement a simple deep learning:
Textbook Reference:
This exercise asks you to implement a simple deep learning:
Textbook Reference: Artificial Intellegence: A Modern Approach – Section 21
Implement a data structure for general computation graphs, (e.g. as described in Section 21.1) and define the node types required to support feed-forward neural networks with a variety of activation functions.
Write a function that computes the outputs of the computation graph given the inputs.
Now write a function that computes the error for a labelled example.
Finally, implement the local back-propagation algorithm based on Equations (21.11) and (21.12) and use it to create a stochastic gradient descent learning algorithm for a set of examples.
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