Following up on our Twitter chat: I want to save a trained model from my text as a TensorFlow SavedModel. It'd be especially cool if that SavedModel can be accepted by tfjs-converter and run in the browser.
How I tried to export the model:
builder = tf.saved_model.builder.SavedModelBuilder('./sample')
with tf.Session() as sess:
# current code
...
...
builder.add_meta_graph_and_variables(sess, [tf.saved_model.tag_constants.TRAINING])
builder.save()
I was able to see and export one tag-set (train) but it came with no SignatureDefs / MetaGraphDef tags, which is what I'm supposed to select in this process: https://github.com/tensorflow/tfjs-converter
Following up on our Twitter chat: I want to save a trained model from my text as a TensorFlow SavedModel. It'd be especially cool if that SavedModel can be accepted by tfjs-converter and run in the browser.
How I tried to export the model:
I was able to see and export one tag-set (train) but it came with no SignatureDefs / MetaGraphDef tags, which is what I'm supposed to select in this process: https://github.com/tensorflow/tfjs-converter