python 3.5 报错 SyntaxError: invalid syntax不懂为什么啊，求助。。。

贴一下我的代码，很基础的：
import tensorflow as tf
import numpy as np

def add_layer(inputs,in_size,out_size,activation_function=None):
Weights = tf.Variable(tf.random_normal([in_size,out_size]))
biases = tf.Variable(tf.zeros([1,out_size]+0.1)
Wx_plus_b = tf.matmul(inputs,Weights)+baises

if activation_function is None:
outputs = Wx_plus_b
else:
outputs = activation_function(Wx_plus_b)

return outputs

x_data = np.linspace(-1,1,300,dtype=np.float32)[:,np.newaxis]
noise = np.random.normal(0,0.05,x_data.shape).astype(np.float32)
y_data = np.square(x_data)-0.5+noise

xs = tf.placeholder(tf.float32,[None,1])
ys = tf.placeholder(tf.float32,[None,1])

l1 = add_layer(xs,1,10,activation_function=None)
prediction = add_layer(l1,10,1,activation_function=None)
loss = tf.reduce_mean(tf.reduce_sum(tf.sqaure(ys-y_data),reduce_indices[1]))

train_step = tf.train.GradientDescentOptimizer(0.1).minimize(loss)

init = tf.global_variables_initializer()

sess = tf.Session()
sess.run(init)

for i in range(1000):
sess.run(train_step,feed_dict={xs:x_data,ys:y_data})
if i % 50 ==0:
print(sess.run(loss,feed_dict={xs:x_data,ys:y_data}))

然后报错：
Wx_plus_b = tf.matmul(inputs,Weights)+baises
^
SyntaxError: invalid syntax

实在不明白为什么啊，在网上查了好长时间，不知道怎么解决，求大佬帮助