小编Tar*_*ary的帖子

乘法 (x1,Wo1) 时出现形状错误。但我找不到原因。错误：ValueError：形状必须具有相同的等级，但为 0 和 2
来自将形状 0 与其他形状合并。对于具有输入形状的“add_2/x”（操作：“Pack”）：[], [20,1]。

    import tensorflow as tf
    import numpy as np
    import pandas as pd
    import math

    df1=pd.read_csv(r'C:\Ocean of knowledge\Acads\7th sem\UGP\datasets\xTrain.csv')
    df1 = df1.dropna()
    xTrain = df1.values


    df2 = pd.read_csv(r'C:\Ocean of knowledge\Acads\7th sem\UGP\datasets\yTrain.csv')
    df2 = df2.dropna()
    yTrain = df2.values

    sess=tf.Session()    
    saver = tf.train.import_meta_graph(r'C:\Ocean of knowledge\Acads\7th sem\UGP\NeuralNet\my_model.meta')
    saver.restore(sess,tf.train.latest_checkpoint('./'))


    graph = tf.get_default_graph()
    w1 = graph.get_tensor_by_name("input:0")
    feed_dict ={w1:xTrain1}
    op_to_restore = graph.get_tensor_by_name("hidden:0")
    h1 = sess.run(op_to_restore,feed_dict)
    print(h1)

    n_input1 = 20
    n_hidden1 = 1

    def weight_variable(shape):
        initial = tf.truncated_normal(shape, …