Abhishek Sharma shaabhishek

Environment:

Tensorflow: v0.11.0rc2 OS: CENTOS 6.8 (No root access)

The tensorboardSLURM.sh can be run with the following command to start a tensorboard server on a SLURM cluster:

sbatch --array=0-0 tensorboardSLURM.sh

This gist contains out.tex, a tex file that adds a PDF outline ("bookmarks") to the freely available pdf file of the book

The Elements of Statistical Learning (2nd ed), by Trevor Hastie, Robert Tibshirani, and Jerome Friedman

The bookmarks allow to navigate the contents of the book while reading it on a screen.

	%% /** ---------------------------------------------------------
	%% a file full of squeezing options
	%% -- which you should try to avoid
	%% -------------------------------------------------------------
	%%
	%% from:
	%% http://www.eng.cam.ac.uk/help/tpl/textprocessing/squeeze.html
	%% ---------------------------------------------------------- */
	%% * Page Layout
	%% o \columnsep: gap between columns

	// A simple quickref for Eigen. Add anything that's missing.
	// Main author: Keir Mierle

	#include <Eigen/Dense>

	Matrix<double, 3, 3> A; // Fixed rows and cols. Same as Matrix3d.
	Matrix<double, 3, Dynamic> B; // Fixed rows, dynamic cols.
	Matrix<double, Dynamic, Dynamic> C; // Full dynamic. Same as MatrixXd.
	Matrix<double, 3, 3, RowMajor> E; // Row major; default is column-major.
	Matrix3f P, Q, R; // 3x3 float matrix.

	import gym
	import numpy as np
	from keras.models import Sequential
	from keras.layers import Dense
	from keras.optimizers import Adam
	from collections import deque

	# Create the Cart-Pole game environment
	env = gym.make('CartPole-v0')