assignment1 | Assignment 1 : automatic differentiation | Machine Learning library

This is my code below. When I run it i get the error:

c:\Users\renne\Documents\Code\Text Analysis\Assignment1.1C.py:27:
FutureWarning: Possible nested set at position 54
for item in
re.finditer("(?P\d{3}[.]\d{3}[.]\d{3}[.]\d{3})(?P[[\w]+\d{4}]|[-])(?P\d{2}/\w+/\d{4}:\d{2}:\d{2}:\d{2} -\d{4})(?P[A-Z]+ \S* HTTP/\d[.]\d)", logdata):

I dont know how to solve this. I have looked over my code a few times and cant figure out the problem.

I used a random string out of the test data instead of the enire txt file to make the testing easier. When this works ill change logdata = '...' to a read.

I'm attempting to make a thread-safe singleton. The program will run if I remove the synchronized function and uncomment the condition but then it won't be thread-safe, correct? I'm java a newbie (and new to working with threads).

I am trying to write a JDBC program for following situation

the client wants an automated system that ask for user authentication. After successful login a menu appears offering an option to view salary calculated. In this option, ask for user to enter number of days then it calculates salary as per the da rules.

In this problem i have a created a database where each employee has its own Unique id and password. Here is my employee table.

so what i done :i created a main class file and separate threads for every option in menu but I am getting problem only in the following one . Though I have created my own user defined exception ,which supposed to run in case null result set . but its seems its not executing at all. Whenever I try to execute this thread "Cal_sal" it gives following error.

Here is my Code :

EDIT: I added a Flatten() layer in between the ResNet50 and the Dense layer and the error is gone

I'm very new to using Keras and machine learning in general. My goal is to use the Keras ResNet50 model pretrained with ImageNet weights to classify between different types of signs in the GTSRB. I am using Google CoLab and the code to load and preprocess all the images/labels was written by my professor. I can compile and predict with the model, the issue I have is with training. I am using the model.fit() function to try and train the model.

The images are 32x32 images so I set the input_tensor to have a shape of (32, 32, 3). There are 43 labels to classify from and I'm using one-hot encoding so I added a layer of size 43 after the ResNet50. I'm not sure where the ValueError is coming up exactly, but I'm pretty sure it's something to do with the labels. I really don't know what the issue with the shapes is, I've been looking through documentation and other Stack Overflow answers but I can't find anything that applies to this (with my limited understanding).

Here are the errors:

I am making a 'Who Wants To Be A Millionaire' game. I am at the later stages, and I am trying to store the user names and scores, but when I call getUser() from another method it comes up as null, I printed the value of getUser() out to make sure it actually storing the values. Here is my code

whenever I try to add text in footer it already gets positioned in center. I don't know how to fix coz I can't find where is the error. Can anyone help me fix this and also whenever I try to add bootstrap link to my header it affects my drop down css also. also Im using notepad++ for website html code

I am new to Java and learnt about classes and making objects recently.

I am working on my assignment and I can't figure out why this is happening.

What I want to achieve:

I have a Main.java class and HouseQuote.java class. I am creating 3 HouseQuote objects by calling them on Main.java. I have to calculate the total cost of the House in HouseQuote class under calculateCost method. The price of house depends on the size of Kitchen, DIning, number of rooms which I will be passing through parameters.

Here's my main.java:

I am trying to make the following structure

I am having trouble with trying to rename my file to upload to the server, i have searched quite abit including this but none seem to work for me. my code is working in another project so i copied over to this but it did not work out, all having the same error;path undefined

html: