import tensorflow as tf

		CHANGES
		- Added one more block consisting of 3 conv layers and 1 max pool layer
		- kernel size was changed (3,3) -> (8,8), strides from 1 to 4, to get 1 x 1 in last layer
		- removed policy layers
		'''
		w_init   = tf.contrib.layers.variance_scaling_initializer()

		# glimpse1 = tf.image.extract_glimpse(inputs, [glimpse_size1,glimpse_size1], self.prev_loc, centered=True, normalized=True)

		# glimpse2 = tf.image.extract_glimpse(inputs, [glimpse_size2,glimpse_size2], self.prev_loc, centered=True, normalized=True)
