Created
November 11, 2018 20:57
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| self.learning_rate = tf.constant(0.005, tf.float32) | |
| self.num_timesteps = num_timesteps | |
| self.batch_size = batch_size | |
| self.num_of_epochs = num_of_epochs | |
| self._midi_coordinator = midi_coordinator | |
| # Define TF variables and placeholders | |
| self._visible_dim = 2*(midi_coordinator._upperBound - midi_coordinator._lowerBound)*num_timesteps | |
| self._hidden_dim = 50 | |
| self._input = tf.placeholder(tf.float32, [None, self._visible_dim], name="input") | |
| self._weights = tf.Variable(tf.random_normal([self._visible_dim, self._hidden_dim], 0.01), name="weights") | |
| self._hidden_bias = tf.Variable(tf.zeros([1, self._hidden_dim], tf.float32, name="hidden_bias")) | |
| self._visible_bias = tf.Variable(tf.zeros([1, self._visible_dim], tf.float32, name="visible_bias")) |
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