This is a collection of trails that I've done or would like to do in the future.
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''' | |
Simple 3-layer fully-connected neural network for recognizing MNIST digits. | |
Implemented from scratch with Numpy. | |
Written by Chris Camargo. | |
MIT License. | |
''' | |
from keras.datasets import mnist | |
import numpy as np |
Steps taken from: How to Solve a Rubik's Cube | WIRED
- Make the daisy
- Create the white cross
- Solve the first layer
- Solve the second layer
- Create the yellow cross:
F U R U' R' F'
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#!/bin/bash | |
# Tested on Ubuntu 18.04-desktop-amd64. | |
# To disable ASLR do: echo 0 | sudo tee /proc/sys/kernel/randomize_va_space | |
# The shellcode was built from the output of objdump appended to a NOP (x90) sled. | |
# 1. type whoami | |
# 2. run this script | |
# 3. type whoami |
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border: no | |
height: 512 | |
license: gpl-3.0 |
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border: no | |
height: 512 | |
license: gpl-3.0 |