Visualizing Test Data with Matplotlib: Displaying Images and Labels

The code above is used to display a grid of images and their corresponding labels. \n\n- The enumerate(test_loader) function is used to iterate over the test dataset.\n- batch_idx, (example_data, example_targets) = next(examples) fetches the next batch of examples from the test dataset.\n- fig = plt.figure() initializes a new figure to display the grid of images.\n- The loop for i in range(6): is used to iterate over the first 6 examples in the batch.\n- plt.subplot(2,3,i+1) creates a subplot in the figure with 2 rows and 3 columns, and selects the i+1-th subplot.\n- plt.tight_layout() adjusts the spacing between subplots to prevent overlapping.\n- plt.imshow(example_data[i][0], cmap='gray', interpolation='none') displays the image in grayscale.\n- plt.title("Ground Truth: {}".format(example_targets[i])) sets the title of the subplot to the corresponding label.\n- plt.xticks([]) and plt.yticks([]) remove the tick marks from the x and y axes.\n\nOverall, this code is useful for visualizing a batch of test examples and their labels.