Hi, doing multiclass image classification
#when I run this on google colab:
initial_epochs = 2
history = model2.fit(train_dataset, validation_data=validation_dataset, epochs=initial_epochs)
#getting error:
Epoch 1/2
259/496 [==============>…] - ETA: 2:55 - loss: 4.7895 - accuracy: 0.1194
InvalidArgumentError Traceback (most recent call last)
in ()
1 initial_epochs = 2
----> 2 history = model2.fit(train_dataset, validation_data=validation_dataset, epochs=initial_epochs)
1 frames
/usr/local/lib/python3.7/dist-packages/tensorflow/python/eager/execute.py in quick_execute(op_name, num_outputs, inputs, attrs, ctx, name)
57 ctx.ensure_initialized()
58 tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
—> 59 inputs, attrs, num_outputs)
60 except core._NotOkStatusException as e:
61 if name is not None:
InvalidArgumentError: Invalid GIF data (size 77719), failed to slurp gif file: Failed to read from given file
[[{{node decode_image/DecodeImage}}]]
[[IteratorGetNext]] [Op:__inference_train_function_15482]
can anyone please solve this issue ?