Skip to content

Instantly share code, notes, and snippets.

View johnny5550822's full-sized avatar

King Chung (Johnny) Ho johnny5550822

26 followers · 25 following
  • UCLA
  • Los Angeles
View GitHub Profile
@johnny5550822
johnny5550822 / pg-pong.py
Created June 2, 2016 00:41 — 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
@johnny5550822
johnny5550822 / gist:aaeab402279315057a61
Last active August 29, 2015 14:27 — forked from karpathy/gist:587454dc0146a6ae21fc
An efficient, batched LSTM.
"""
This is a batched LSTM forward and backward pass
"""
import numpy as np
import code
class LSTM:
@staticmethod
def init(input_size, hidden_size, fancy_forget_bias_init = 3):
@johnny5550822
johnny5550822 / min-char-rnn.py
Last active August 29, 2015 14:27 — forked from karpathy/min-char-rnn.py
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np
# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)