import tensorflow as tf

        b8 = utils.bias_variable([150], name="b8")
	
       # W_h = utils.weight_variable([1, 7, 7, 4], name="Wh")
        conv8 = tf.reshape(utils.conv2d_basic(relu_dropout7, W8, b8),[-1,4*4*150])
        fc1 = tf.reshape(tf.layers.dense(conv8,4*4*150,activation = tf.nn.relu),[-1,4,4,150])
        
          

