Initializing RNN Model with random weights

model_init.py

class Model:
    def __init__(self, word_dim, hidden_dim=100, bptt_truncate=4):
        self.word_dim = word_dim
        self.hidden_dim = hidden_dim
        self.bptt_truncate = bptt_truncate
        self.U = np.random.uniform(-np.sqrt(1. / word_dim), np.sqrt(1. / word_dim), (hidden_dim, word_dim))
        self.W = np.random.uniform(-np.sqrt(1. / hidden_dim), np.sqrt(1. / hidden_dim), (hidden_dim, hidden_dim))
        self.V = np.random.uniform(-np.sqrt(1. / hidden_dim), np.sqrt(1. / hidden_dim), (word_dim, hidden_dim))