there is a problem with this code , when i try to map val_list_ds/test_list_ds it tells me "Tensor' object has no attribute 'to_sparse' "

While running this notebook, im getting the following error while fitting data to model:

InvalidArgumentError: logits and labels must be broadcastable: logits_size=[32,3] labels_size=[32,4] [[node loss/dense_10_loss/softmax_cross_entropy_with_logits (defined at //anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py:1751) ]] [Op:__inference_distributed_function_7050] Function call stack: distributed_function

Any idea how I can resolve this?

@shadab96 check the train folder that it doesn't have an extra folder or file. Assert that it's only leaf_rust, stem_rust and healthy_wheat

.9 training .1 for validation

and i didn't use data augmentation

I first augmented the data on the train folder the splitted to a ratio of 0.8 to 0.2

i did the same as you but the problem keeps persisting:

@geek I trust you have two folders train and Val?, If yes will try uploaded my splitted folders on Google n run the code on colab then make it shareable.

Hi @geek I have got the same error with tensorflow 2.1 was using tensorflow 2.0, will try fix the issue then will update.

thank you for your response , i tried to fix the problem by adding parameters but it didn't work ,

i hope you make an update for the notbook :)

thak you :)