Hands-On Deep Learning Algorithms with Python

Support set embedding function

We use the embedding function for learning the embeddings of the support set. We use bidirectional LSTM as our embedding function . We can define our embedding function as follows:

    def g(self, x_i):        forward_cell = rnn.BasicLSTMCell(32)        backward_cell = rnn.BasicLSTMCell(32)        outputs, state_forward, state_backward = rnn.static_bidirectional_rnn(forward_cell, backward_cell, x_i, dtype=tf.float32) return tf.add(tf.stack(x_i), ...