Python for Deep Learning - Build Neural Networks in Python - Fitting the ANN Model to the Training Set

The video tutorial explains how to use the fit method in Python for training a model. It covers the syntax for the classifier fit method, detailing the input and output neurons, batch size, and epochs. The tutorial emphasizes the importance of batch processing and epochs in improving model accuracy. It concludes with predicting results on a test set, demonstrating the model's performance improvement over 100 epochs, achieving a final accuracy of 85.44%.

How does the accuracy of a neural network change over multiple epochs?

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What steps are involved in predicting the test set results after training a neural network?

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