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| epochs = 1000 | |
| learning_rate = 5e-3 | |
| params = initialize_nn(X_train) | |
| for i in range(epochs): | |
| cache = forward_prop(X_train, params) | |
| loss = calculate_loss(cache, y_train) | |
| updates = backward_prop(X_train, y_train, cache) | |
| params = update_weights(params, updates, learning_rate=learning_rate) |
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