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Hello, I used the code and was able to train a model. When I converted the model from h5 to tflite, it didn't save, and I cannot find it anywhere.
`from tensorflow.keras.models import load_model
from kapre.time_frequency import STFT, Magnitude, ApplyFilterbank, MagnitudeToDecibel
import tensorflow as tf
Load the Keras model
model_path = r'models\lstm.h5' # Using a raw string for Windows path
keras_model = tf.keras.models.load_model(model_path, custom_objects={
'STFT': STFT,
'Magnitude': Magnitude,
'ApplyFilterbank': ApplyFilterbank,
'MagnitudeToDecibel': MagnitudeToDecibel
})
Hello, I used the code and was able to train a model. When I converted the model from h5 to tflite, it didn't save, and I cannot find it anywhere.
`from tensorflow.keras.models import load_model
from kapre.time_frequency import STFT, Magnitude, ApplyFilterbank, MagnitudeToDecibel
import tensorflow as tf
Load the Keras model
model_path = r'models\lstm.h5' # Using a raw string for Windows path
keras_model = tf.keras.models.load_model(model_path, custom_objects={
'STFT': STFT,
'Magnitude': Magnitude,
'ApplyFilterbank': ApplyFilterbank,
'MagnitudeToDecibel': MagnitudeToDecibel
})
Convert the model to TFLite
converter = tf.lite.TFLiteConverter.from_keras_model(keras_model)
tflite_model = converter.convert()
Save the converted model to a .tflite file
tflite_path = r'\models\model.tflite'
with open(tflite_path, 'wb') as f:
f.write(tflite_model)`
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