Geekieo geekieo
kingspp
/ tensorflow_custom_operation_gradient.py
Last active
March 22, 2020 00:15
Custom Operations with Gradients in Tensorflow using PyFunc
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| # -*- coding: utf-8 -*- | |
| """ | |
| | **@created on:** 11/05/17, | |
| | **@author:** Prathyush SP, | |
| | **@version:** v0.0.1 | |
| | | |
| | **Description:** | |
| | DL Module Tests | |
| | **Sphinx Documentation Status:** Complete | |
| | |
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 |