Function dot1

recommenders/rbm_tf_k_faster.py:21–25

(V, W)

def dot1(V, W):
    # V is N x D x K (batch of visible units)
    # W is D x K x M (weights)
    # returns N x M (hidden layer size)
    return tf.tensordot(V, W, axes=[[1,2], [0,1]])

def dot2(H, W):
    # H is N x M (batch of hiddens)