When reading binlog, I found one interesting code like below, just keep in mind here
#include <type_traits>
#include <cstdint>
#include <iostream>
struct Base{
int32_t i_data {123};
uint64_t u_data {123};
double d_data {123.0};
mashoujiang
/ gist:0eb3aed7273d0ac0fee2d3f93eb1cb10
Last active
October 5, 2022 15:21
One interesting C++ template programming case
mashoujiang
/ Pong-Playing TensorFlow Neural Network.ipynb
Created
March 21, 2018 15:53
— forked from bbartoldson/Pong-Playing TensorFlow Neural Network.ipynb
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
mashoujiang
/ pg-pong.py
Created
March 21, 2018 01:31
— forked from karpathy/pg-pong.py
Training a Neural Network ATARI Pong agent with Policy Gradients from raw pixels
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| """ 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 |