Shashwat Aggarwal imshashwataggarwal
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| """A program that encodes and decodes hidden messages in images through LSB steganography""" | |
| from PIL import Image, ImageFont, ImageDraw | |
| import textwrap | |
| def decode_image(file_location="images/encoded_sample.png"): | |
| """Decodes the hidden message in an image | |
| file_location: the location of the image file to decode. By default is the provided encoded image in the images folder | |
| """ | |
| encoded_image = Image.open(file_location) |
karpathy
/ pg-pong.py
Created
May 30, 2016 22:50
Training a Neural Network ATARI Pong agent with Policy Gradients from raw pixels
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| """ Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """ | |
| import numpy as np | |
| import cPickle as pickle | |
| import gym | |
| # hyperparameters | |
| H = 200 # number of hidden layer neurons | |
| batch_size = 10 # every how many episodes to do a param update? | |
| learning_rate = 1e-4 | |
| gamma = 0.99 # discount factor for reward |