frame_level_models.py 文件源码

def fc_layer(self, bottom, out_size, name):
        with tf.variable_scope(name):
            _, _height, _width, _channel = bottom.get_shape().as_list() 
            size = _height*_width*_channel
            weights = tf.get_variable(name=name + "_weights", shape = [size, out_size], initializer=init_ops.random_normal_initializer(stddev=0.01))
            biases = tf.get_variable(name=name + "_biases", shape=[out_size], initializer=init_ops.random_normal_initializer(stddev=0.01)) 
            print weights
            x = tf.reshape(bottom, [-1, size])
            fc = tf.nn.bias_add(tf.matmul(x, weights), biases)
            return fc