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Implement a basic neural network using TensorFlow/Keras to classify images from
Implement a basic neural network using TensorFlow/Keras to classify images from the MNIST dataset. The network should have one hidden layer with 128 neurons and use ReLU activation function. Use softmax activation function for the output layer. Train the network for 10 epochs with a batch size of 32 and evaluate its performance on the test set.
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