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

Research & Models
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#1

this is the model 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!