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Neural Network Accuracy Report Analysis by dev burman is a document available to read on EtoBox.

What is Neural Network Accuracy Report Analysis about?

The document reports on the results of a neural network model for spam detection. For part 1, the training accuracy was 86.7% and test accuracy was 86.3% using weights initialized from a normal distribution with mean 0 and std deviation 0.1, and a threshold of 0.3 to classify messages. A graph shows the train and test error over epochs. Part 2 uses a model with two hidden layers of 100 and 50 neurons, achieving a test accuracy of 71.1% with weights initialized from a standard normal and run for 740 iteratio

Author

dev burman

Language

EN