AttributeError: 'tuple' object has no attribute 'rank' when calling fit on a Keras model with custom generator

Question

I want to build a Neural Network with two inputs: for image data and for numeric data. So I wrote custom data generator for that. The train and validation

Answer 1

You need to convert all the individual objects returned by both the training and validation generators to Numpy arrays:

    yield [np.array(imgs), np.array(cols)], np.array(targets)

Alternatively, a simpler and much more efficient solution is to not iterate over the data batch at all; instead, we can take advantage of the fact that these objects are already Numpy arrays when returned by ImageDataGenerator, so we can write:

    imgs = data[0]
    cols = data[1][:,:-1]
    targets = data[1][:,-1:]
    yield [imgs, cols], targets