TensorFlow as build it a nice way to store data. This is for example used to store the MNIST data in the example:
<tensorflow.examples.tutorials.mnist.input_data.read_data_sets.<locals>.DataSets object at 0x10f930630>
Suppose to have a input and output numpy arrays.
>>> x = np.random.normal(0,1, (100, 10))
>>> y = np.random.randint(0, 2, 100)
How can I transform them in a tf dataset?
I want to use functions like next_batch