Question

我的linear regression代码，包含3个功能。我试图在终端执行。我收到以下错误

值错误：使用序列设置数组

import tensorflow as tf
INPUT_XOR=[[1,72,50,33.6],[1,66,31,26.6],[1,64,32,23.3],
[1,66,21,28.1],[1,40,33,43.1],[1,74,30,25.6],[1,50,26,31.0],
[1,0,29,35.3],[1,70,53,30.5],[96,54,0]]
OUTPUT_XOR=[[148],[85],[183],[89],[137],[116],[78],[115],[197],[125]]
n_nodes_hl1=10
n_nodes_hl2=1
batch_size=100
x=tf.placeholder('float',[10,4])
y=tf.placeholder('float',[10,1])


def train_neural_network(x):
    hidden_1_layer=
  {'weights':tf.Variable(tf.random_uniform([4,n_nodes_hl1],-1.0,1.0)),
        'biases':tf.Variable(tf.zeros([n_nodes_hl1]))}
    output_layer=
  {'weights':tf.Variable(tf.random_uniform([n_nodes_hl1,n_nodes_hl2], 
-1.0,1.0)),
        'biases':tf.Variable(tf.zeros([n_nodes_hl2]))}
l1=tf.add(tf.matmul(x,hidden_1_layer['weights']),hidden_1_layer['biase
s'])
l1=tf.nn.relu(l1)
output=tf.add(tf.matmul(l1,output_layer['weights']),output_layer['biases'])
output=tf.sigmoid(output)
prediction=output
cost=tf.reduce_mean(tf.squared_difference(prediction,y))
optimizer=tf.train.GradientDescentOptimizer(0.01).minimize(cost)
hm_epochs=10000
with tf.Session() as sess:
    init_op=tf.global_variables_initializer()           
    sess.run(init_op)
    for epoch in range(100001):
        epoch_loss=0
        sess.run(optimizer, feed_dict={x:INPUT_XOR, y:OUTPUT_XOR})
        if epoch%10000==0:
            c=sess.run(cost, feed_dict={x:INPUT_XOR, y:OUTPUT_XOR})
            #epoch_loss+=c
            print('Epoch:', epoch, 'completed out of ',hm_epochs 
,'cost', c)
            print('_'*80)
            for element in sess.run(prediction, feed_dict=
  {x:INPUT_XOR, y:OUTPUT_XOR}):
                print('  ', element)
    correct=tf.equal(tf.argmax(prediction,1),tf.argmax(y,1))
    accuracy=tf.reduce_mean(tf.cast(correct,'float'))
    print('Accuracy:',accuracy.eval({x:INPUT_XOR, y:OUTPUT_XOR}))





 train_neural_network(x)

输出：

追踪（最近一次通话）：文件“”，第1行，in 文件“”，第19行，在train_neural_network中文件“/home/vj/tensorflow/local/lib/python2.7/site- packages / tensorflow / python / client / session.py“，第895行，运行中 run_metadata_ptr）文件“/home/vj/tensorflow/local/lib/python2.7/site- packages / tensorflow / python / client / session.py“，第1093行，在_run中 np_val = np.asarray（subfeed_val，dtype = subfeed_dtype）文件“/home/vj/tensorflow/local/lib/python2.7/site- package / numpy / core / numeric.py“，第531行，在asarray中返回数组（a，dtype，copy = False，order = order） ValueError：使用序列设置数组元素。

请帮我解决此错误

Answer 1

INPUT_XOR矩阵的最后一行有三个元素而不是四个元素。试试这段代码：

INPUT_XOR = [[1,72,50,33.6], [1,66,31,26.6], [1,64,32,23.3], [1,66,21,28.1], [1,40,33,43.1], [1,74,30,25.6], [1,50,26,31.0], [1,0,29,35.3], [1,70,53,30.5], [96,54,0,0.0]]

value error：使用序列设置数组元素

1 个答案: