num_of_CUEs = 2
num_of_D2Ds = 2
batch_size = 64
epochs = 10
# Get the image data format which Keras follows
image_data_format = Preprocessing.GetImageDataFormat()
# Get the input data and target data
input_data = Preprocessing.GetInputData(num_of_cells, num_of_CUEs, num_of_D2Ds,
(2000, 8000, 10000), image_data_format)
target_data = Preprocessing.GetTargetData(num_of_cells, num_of_CUEs,
num_of_D2Ds, (2000, 8000, 10000))
# Reshape the input data
reshaped_input_data = Preprocessing.ReshapeInputData1D(input_data)
# Split the datadset into the training set and testing set
(x_train, y_train), (x_test,
y_test) = Preprocessing.SplitDataset(reshaped_input_data,
target_data,
proportion=0.8,
shuffle=False)
# Get the input shape of input data and the output shape of target data
input_shape = Preprocessing.GetInputShape(x_train)
target_shape = Preprocessing.GetTargetShape(y_train)
# Build the model
model = Sequential()
