Why is my multilayered, feedforward neural network not working?

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The discussion revolves around troubleshooting a multilayered feedforward neural network developed in Python that is not functioning as expected. The user reports that the network outputs nonsensical results after training, despite the program running without obvious errors. Key issues include identical outputs across multiple training runs and confusion regarding the implementation of backpropagation, particularly the handling of gradients as matrices versus vectors. Suggestions include debugging the code step-by-step, ensuring that the math behind the network is correct, and clarifying the expected versus actual outputs for better troubleshooting. The conversation emphasizes the complexity of neural network implementation and the importance of clear communication regarding specific problems encountered.
  • #51
Zap said:
The problem was resolved at post #41. I do appreciate everyone who helped out and were not condescending.
O.k., then let's move forward. Thread closed.
 

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