Machine Learning, Embedding, Image Processing, Meteorology.
decode it as follows (full code is on GitHub). First, we create a decoder by loading the SavedModel, finding the embedding layer and reconstructing all the subsequent layers: import tensorflow as tf def create_decoder(model_dir): model = tf.keras.models.load_model(model_dir) decoder_input =