> For the complete documentation index, see [llms.txt](https://bunring.gitbook.io/ctf-writeups/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://bunring.gitbook.io/ctf-writeups/try-hack-me/advent-of-cyber-2023/day-14.md). # Day 14 Machine learning The Little Machine That Wanted to Learn Learning Objectives * What is machine learning? * Basic machine learning structures and algorithms * Using neural networks to predict defective toys This is a straightforward room with all the commands and instructions given to us {% code overflow="wrap" %} ``` What is the other term given for Artificial Intelligence or the subset of AI meant to teach computers how humans think or nature works? [REDACTED] ``` {% endcode %} ``` What ML structure aims to mimic the process of natural selection and evolution? [REDACTED] ``` {% code overflow="wrap" %} ``` What is the name of the learning style that makes use of labelled data to train an ML structure? [REDACTED] ``` {% endcode %} {% code overflow="wrap" %} ``` What is the name of the layer between the Input and Output layers of a Neural Network? [REDACTED] ``` {% endcode %} {% code overflow="wrap" %} ``` What is the name of the process used to provide feedback to the Neural Network on how close its prediction was? [REDACTED] ``` {% endcode %} ``` ubuntu@tryhackme:~/Desktop/NeuralNetwork$ python3 detector.py Sample of our data: Features: [[ 2.34 1.66 11.06 1. 4. 7. ] [ 8.78 1.18 9.48 5. 8. 14. ] [ 2.73 2.29 8.86 6. 13. 14. ]] Defective?: [0 0 0] Sampe of our data after normalization: Features: [[-1.5920688 -0.97226669 -0.25226287 -0.99947684 -0.97240182 -0.30828496] [ 1.03457918 -1.45651003 -0.86716466 0.99976423 -0.08558604 1.23726592] [-1.43300161 -0.3366973 -1.10845523 1.4995745 1.02293369 1.23726592]] Defective?: [0 0 0] Starting to training our Neural Network Training has been completed, validating neural network now.... Total Correct: 18285 Total Incorrect: 1715 Network Accuracy: 91.425% Now we will predict the testing dataset for which we don't have the answers for... Saving predictions to a file Predictions are saved, this file can now be uploaded to verify your Neural Network ``` {% code overflow="wrap" %} ``` What is the value of the flag you received after achieving more than 90% accuracy on your submitted predictions? [REDACTED] ``` {% endcode %}

Flag recieved after file upload