I have a CNN which I want to throw in arrays of data of float. Should I load it as text and convert it to float? Or use some other existing method with tensorflow? Can anybody give me some suggestions?
Input data to a CNN should be numeric. If data is present in an external directory, consider using tf.keras.utils.image_dataset_from_directory
I’ve used this before on images! But can this function be used on a numpy array? Because for my specific application, I want to directly input an array for training!
Model.fit args section tells you all supported formats for x (numpy array is one of them).
just by looking at the documents by the tf.keras.utils.image_dataset_from_directory , I only see that it supports image format. Can you show me how with the link that you posted above? Much thanks !
These are the points I’m referring to under x for Model.fit:
- A Numpy array (or array-like), or a list of arrays (in case the model has multiple inputs).
- A TensorFlow tensor, or a list of tensors (in case the model has multiple inputs).
You can directly pass arrays to the fit method.
Gotcha! So what you mean is that I can preprocess my data using numpy tools, arrange the labels then directly train? Just to make sure!