Closed thebeancounter closed 6 years ago
Hello thebeancounter Assuming you are using the layers api within TFJS, you should be able to convert your tfjs model into keras.h5 format, and then load it in python.
Here are instructions for the converter, please note the "Format conversions support table". https://github.com/tensorflow/tfjs-converter
More detail at your S/O question here: https://stackoverflow.com/questions/51948810/how-to-load-tfjs-model-into-python-using-keras-tensorflow/51958601?noredirect=1#comment90873554_51958601
hello i am trying to convert a tf.js model which is trained using google teachable machine. i want to convert the model in .h5 format so that i can load it with python keras. can you share some example to do the same
Hello @vishal0021 , Do any of the code snippets at https://js.tensorflow.org/api/latest/#tf.LayersModel.save work for you?
@bileschi so if I do in js
tf.LayersModel.save(...)
and save it locally.
Then I can load that model in python, with
tf.keras.load_model(...)
Am I understanding that correctly?
Yes but you may need to use the tfjs converter to change to a compatible format. https://github.com/tensorflow/tfjs/tree/master/tfjs-converter
On Fri, Jan 31, 2020 at 3:11 PM hollowgalaxy notifications@github.com wrote:
@bileschi https://github.com/bileschi so if I do in js tf.LayersModel.save(...) and save it locally. Then I can load that model in python, with tf.keras.load_model(...) Am I understanding that correctly?
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hello i am trying to convert a tf.js model which is trained using google teachable machine. i want to convert the model in .h5 format so that i can load it with python keras. can you share some example to do the same
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