Can I Use This Code With My Own Dataset?
enissimsir opened this issue · 3 comments
enissimsir commented
Issue Type
Support
Source
source
Keras Version
2.14
Custom Code
Yes
OS Platform and Distribution
No response
Python version
No response
GPU model and memory
No response
Current Behavior?
Can I try this code with my own dataset? I wanna train a model with my dataset and it is not from TFDS
Standalone code to reproduce the issue or tutorial link
How should I change here?:
dataset_name = "stanford_dogs"
(ds_train, ds_test), ds_info = tfds.load(
dataset_name, split=["train", "test"], with_info=True, as_supervised=True
)
NUM_CLASSES = ds_info.features["label"].num_classes
Relevant log output
No response
sachinprasadhs commented
Yes,
You can use any other dataset which can be considered for a classification problem other than TFDS also.
Mae sure you prepare your dataset pipeline according to your dataset which can be feed into the model.
You can refer this guide for some references: https://keras.io/api/data_loading/
github-actions commented
This issue is stale because it has been open for 14 days with no activity. It will be closed if no further activity occurs. Thank you.
github-actions commented
This issue was closed because it has been inactive for 28 days. Please reopen if you'd like to work on this further.