Tag: keras
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How does model.fit work? what is computed under the hood?
model.fit is a function in Keras that trains the model for a fixed number of epochs (iterations on a dataset). It works by taking the training data and labels as input, and using these to adjust the model’s weights through a process called backpropagation and gradient descent. Here’s what happens under the hood: This process…
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What is sparse categorical crossentropy in a machine learning program?