Neural network layer is added addlayer

def addlayer(inputs,insize,outsize,activity_function = None):
    weights = tf.Variable(tf.random_normal([insize,outsize]))
    biases = tf.Variable(tf.zeros([1,outsize])+0.1)
    totle = tf.multiply(weights,inputs)+ biase
    if actiactivity_function is None:
        outputs = totle
    else:
        outputs = activity_function(totle)
    return outputs

Write a function to add the network layer, easy to add just behind layers of the network.

Size insize, outsize input and output

activity_function activation function