cost)
init = tf.global_variables_initializer()
with tf.Session() as sess:
sess.run(init)
srun...= sess.run
for t in range(training_iters+1):
srun(train_op,{x:datas[0:289,...:10],y:datas[0:289,10:11]})
if(t%10 == 0):
loss_val = srun(cost,{x:datas[0:289,:10...],y:datas[0:289,10:11]})
print(t,loss_val)
y_val = srun(pred,{x:datas[0:289,:10]}).reshape