Hands-On Meta Learning with Python

The support set embedding function (g)

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(X):        #forward cell    forward_cell = rnn.BasicLSTMCell(32)    #backward cell    backward_cell = rnn.BasicLSTMCell(32)        #bidirectional LSTM outputs, state_forward, state_backward = rnn.static_bidirectional_rnn(forward_cell, backward_cell, ...