| function check_grad(f, x0, varargin) | |
| % a simple function that checks the correctness of gradient. | |
| % INPUT | |
| % f - a function handle of f(x) that returns function values and gradients given parameter x | |
| % x0 - the location near which the gradient will be evaluted. | |
| % For a correct gradiet, the displayed ratio should be near 1.0 | |
| % | |
| % to check why the code works there is a useful link: | |
| % http://ufldl.stanford.edu/tutorial/supervised/DebuggingGradientChecking/ |
| """ 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 |
Bought TMobile Cellspot (TM-AC1900) and would like to flash Merlin firmware.
Purchased router equipped with TMobile firmware version: 3.0.0.4.376_2827 Gateway address: 192.168.27.1
Downgrade TMoble firmware to enable TELNET 1.1 Get into recovery mode (hold reset and power up, until ping TTL=100) 1.2 Downgrade to Tmobile firmware version: 3.0.0.4_376_1703 TRX use tftp binary transfer.
| #!/bin/bash | |
| function remove_dir () { | |
| rm -rf "$1_" | |
| if [ -d "$1" ] | |
| then | |
| mv "$1" "$1_" | |
| fi | |
| } |