How to evaluate the saved hdf5 model on test dataset without splitting into train and test

TensorFlow
,
1

this is the model link
https://drive.google.com/file/d/193Hge6dOyjJu0EPp1BJBZa7sdRijy6ty/view?usp=share_link
test dataset link

3

@Nikhil_K_Shaji,

Welcome to the Tensorflow Forum!

You can load the model

new_model = tf.keras.models.load_model('model.hdf5')

and evaluate the model using

loss, accuracy = model.evaluate(test_data)

For more details please refer to save_and_load#hdf5_format. Thank you!

5

Its not working for me

7

@Prasanna_Kumar,

Could you please create a new issue with standalone code that reproduces the issue? so that we can analyse and assist you quickly.

Thank you!