我在tensorflow和教学目的中实现一个简单的网络，我试图表明线性转换：
<?php
date_default_timezone_set('Asia/Kolkata');
session_start();
include"../includes/config.php"; //connects to the database
global $con;
DEFINE('EMAIL', 'testemail@email.com');
DEFINE('WEBSITE_URL', 'http://website.com/');
if (isset($_POST['btn-send'])){
//echo $_POST['user_email'];
//exit;
$error = array();
if (empty($_POST['user_email'])) {
$error[] = 'You forgot to enter your Email ';
$msg_error_email_empty= 'You forgot to enter your Email';
} else {
$useremail_recov = mysqli_real_escape_string($con, $_POST['user_email']);
$useremail_recov = stripslashes($_POST['user_email']);
}
$query = "SELECT * FROM profile_details WHERE email='$useremail_recov'";
$result = mysqli_query($con, $query);
$count = mysqli_num_rows($result);
if($count==0){
//echo "Email id is not registered";die();
$error[] = 'Sorry ! Email id is not registered ';
$msg_error_email= 'Sorry ! Email id is not registered';
}
// If the count is equal to one, we will send message other wise display an error message.
if($count==1)
{
$ip = $_SERVER['REMOTE_ADDR'];
$httpref = $_SERVER['HTTP_REFERER'];
$httpagent = $_SERVER['HTTP_USER_AGENT'];
$date = date('F j, Y H:i:s');
$token = md5(uniqid(rand(), true));
$query = "UPDATE profile_details SET tokenCode='$token' WHERE email='$useremail_recov'";
$result_pass_reset = mysqli_query($con, $query) or die (mysqli_error($con));
if (!$result_pass_reset) {
echo 'Query Failed ';
}
if (mysqli_affected_rows($con) == 1) { //If the Insert Query was successfull.
// Send the email for account activation:
$to = "$useremail_recov";
$subject = "Reset Password";
$from = "Alert@website.com";
$message = "<br /><br /><b style='font-size:100%;'>
Hello $useremail_recov,
<br /><br /></b>
Welcome to website !!,<br />
Somebody recently asked to reset your password, if you do this then just click the following link,<br />
If you didn't request a new password, let us know immediately.<br /><br /><br />
Click Following Link To RESET Your Password <br /><br />
<a href='". WEBSITE_URL ."/reset_password.php?email=" . urlencode($useremail_recov) . "&key=$token'><b style='#fff:Blue; border-style: dotted; background-color: green;'><button>REST YOUR PASSWORD</button></b></a> <br /><br />
Ip Address is : <b> $ip </b><br /><br />
Browser is : <b> $httpagent </b><br /><br />
Referral : <b> $httpref </b><br /><br />
Time : <b> $date </b><br /><br />
For further assistent contact on <b style='color:red'> info@website.com (+91 99213 50058). </b> <br />
Keep Your account safe and secure from others.
<br /><br /><br /><br />
Thank you <br />
Sincerely,<br />
Team website.<br />
<br />
<br />
<br />
-------------------------------------------------------------------------------------------------------------------------------------------------<br />
<b><u>Note:</u></b> This is password reset mail hence, Please <b>do not reply </b>to this email. <br />
Emails sent to this address will not be answered.<br />
Copyright © 2015-2017 website. All rights reserved.
";
$headers = "From: " . strip_tags($from) . "\r\n";
$headers .= "Reply-To: ". strip_tags($useremail_recov) . "\r\n";
$headers .= "MIME-Version: 1.0\r\n";
$headers .= "Content-Type: text/html; charset=ISO-8859-1\r\n";
$sentmail = mail($to,$subject,$message,$headers);
// Finish the page:
$msg = "
<div class='alert alert-success'>
<button class='close' data-dismiss='alert'>×</button>
<strong>Success !</strong> We've sent an email to $useremail_recov.
Please click on the confirmation link in the email to reset your password.
</div>
";
}
else { // If it did not run OK.
$msg_fail = "
<div class='alert alert-danger'>
<button class='close' data-dismiss='alert'>×</button>
<strong>OOPS !</strong> You could not be reset your password due to a system
error. We apologize for any inconvenience.
</div>
";
}
}
mysqli_close($con);//Close the DB Connection
} // End of the main Submit conditional.
?>
无法学习异或。但现在的问题是，在目前的实施中，它确实存在！这表明代码中存在错误。请澄清一下？
yhat = w(Wx + c) + b
现在，准确度为############################################################
'''
dummy data
'''
x_data = [[0.,0.],[0.,1.],[1.,0.],[1.,1.]]
y_data = [[0],[1],[1],[0]]
############################################################
'''
Input and output
'''
X = tf.placeholder(tf.float32, shape = [4,2], name = 'x')
Y = tf.placeholder(tf.float32, shape = [4,1], name = 'y')
'''
Network parameters
'''
W = tf.Variable(tf.random_uniform([2,2],-1,1), name = 'W')
c = tf.Variable(tf.zeros([2]) , name = 'c')
w = tf.Variable(tf.random_uniform([2,1],-1,1), name = 'w')
b = tf.Variable(tf.zeros([1]) , name = 'b')
############################################################
'''
Network 1:
function: Yhat = (w (x'W + c) + b)
loss : \sum_i Y * log Yhat
'''
H1 = tf.matmul(X, W) + c
Yhat1 = tf.matmul(H1, w) + b
cross_entropy1 = -tf.reduce_sum(
Y*tf.log(
tf.clip_by_value(Yhat1,1e-10,1.0)
)
)
step1 = tf.train.AdamOptimizer(0.01).minimize(cross_entropy1)
'''
Train
'''
writer = tf.train.SummaryWriter("./logs/xor_logs.graph_def")
graph1 = tf.initialize_all_variables()
sess1 = tf.Session()
sess1.run(graph1)
for i in range(100):
sess1.run(step1, feed_dict={X: x_data, Y: y_data})
'''
Evaluation
'''
corrects = tf.equal(tf.argmax(Y,1), tf.argmax(Yhat1,1))
accuracy = tf.reduce_mean(tf.cast(corrects, tf.float32))
r = sess1.run(accuracy, feed_dict={X: x_data, Y: y_data})
print ('accuracy: ' + str(r * 100) + '%')
，即使它应该在100%。
答案 0 :(得分：1)
tf.argmax（Y，1）将返回[0,0,0,0]。这不是你想要的。