Hyuck Kang brainstormot

brainstormot / pg-pong.py

Created July 13, 2016 09:52 — forked from karpathy/pg-pong.py

Training a Neural Network ATARI Pong agent with Policy Gradients from raw pixels

	""" 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

brainstormot / rbm_MNIST_test.py

Created February 14, 2017 11:23 — forked from myme5261314/rbm_MNIST_test.py

RBM procedure using tensorflow

	import tensorflow as tf
	import numpy as np
	import input_data
	import Image
	from util import tile_raster_images


	def sample_prob(probs):
	return tf.nn.relu(
	tf.sign(

brainstormot / rbm_after_refactor.py

Created February 14, 2017 11:25 — forked from gabrieleangeletti/rbm_after_refactor.py

Restricted Boltzmann Machine implementation in TensorFlow, before and after code refactoring. Blog post: http://blackecho.github.io/blog/programming/2016/02/21/refactoring-rbm-tensor-flow-implementation.html

brainstormot / solarized-dark.xcs

Created May 19, 2017 06:44 — forked from ichaos/solarized-dark.xcs

xshell solarized dark color theme

brainstormot / crawlingResultToCSV.py

Last active March 19, 2019 02:29

	import os
	import csv

	searchKeywords = ["P2P","금융"]

	def main():
	for dirname, dirnames, filenames in os.walk('.'):
	for subdirname in dirnames:
	if subdirname == "news":
	print("in " + os.path.join(dirname, subdirname))