liyougeng
liyougeng
/ pg-pong.py
Created
March 24, 2017 15:31
— forked from karpathy/pg-pong.py
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 |
liyougeng
/ 128x128_train.prototxt
Created
November 5, 2016 02:24
— forked from kjw0612/128x128_train.prototxt
Learning to generate chairs proto
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| name: "CaffeNet" | |
| layers { | |
| name: "data" | |
| type: DATA | |
| top: "data" | |
| top: "label" | |
| data_param { | |
| source: "@YOUR_PATH_TO_DATA@/chairs_128x128_reduced/data-lmdb" | |
| batch_size: 64 | |
| scale: 0.00390625 |