| ;; -*- mode: emacs-lisp -*- | |
| ;; This file is loaded by Spacemacs at startup. | |
| ;; It must be stored in your home directory. | |
| (defun dotspacemacs/layers () | |
| "Configuration Layers declaration. | |
| You should not put any user code in this function besides modifying the variable | |
| values." | |
| (setq-default | |
| ;; Base distribution to use. This is a layer contained in the directory |
| sentence = 'happynewyear' | |
| n = len(sentence) | |
| total_perms = 2 ** n | |
| for perm in range(total_perms): | |
| generated = [] | |
| for i in range(n): | |
| ch = sentence[i] | |
| if (1 << i) & perm: # see explanation: https://www.quora.com/What-is-bitmasking-What-kind-of-problems-can-be-solved-using-it/answer/Piyush-Kumar-8 | |
| ch = ch.upper() |
| Data: [ 70. 91. 52. 67. 80. 93. 74. 40. 89. 45. 61. 82. | |
| 96. 50. 64. 85. 100. 56. 98. 41. 87. 68. 43. 65. | |
| 75. 62. 54. 47. 48. 72.] | |
| ===Beginning Parameters=== | |
| Group 1; MEAN = 45.00, SD = 3.00 | |
| Group 2; MEAN = 65.00, SD = 3.00 | |
| Group 3; MEAN = 85.00, SD = 3.00 | |
| Reading 70.0 | |
| This data is in group 2 | |
| MEAN: 66.6666666667 SD: 4.8218253805 |
Resistance training A.K.A. strength training A.K.A. weight training is done by lifting weights in the gym or using bodyweight in order to improve your physique and performance.
The physique goal might be to gain muscle, lose fat, or maintain your weight.
The performance goal might be to improve strength, endurance, cardiovascularity, power, or technical showoff.
NOTE: I also talk about diet. I'm showing you how to improve your physique in scientifically proven ways. After reading this open-mindedly, you are going to be able to manipulate your bodyweight like crazy.
I also talk about how to eliminate excuses and difficulty for going to the gym. I'll show you how you can train your mind to be a new person.
| :: Put this file and `bfg.jar` into a dedicated folder for aliases like `C:\Aliases`. | |
| :: And ensure that you add the folder path to `PATH` environment variable. | |
| :: Then you would be able to call `bfg` inside command prompt. | |
| @echo off | |
| echo. | |
| java -jar %~dp0\bfg.jar %* |
Create a library project to build DLL file. You will get .lib, .dll, and .h files.
Create another project to use the DLL file. Then follow steps 2 to 6 on this project. You need to tell Visual Studio where to find the header files and library files via its Properties window.
Go to project Properties > C/C++ > General and set Additional Include Directories to directory for header files (.h). (Or you can just copy the header files into your project.)
If you build the project, you will get error LNK2019: unresolved external symbol because there is no library file yet.
Follow this guide to install TensorFlow GPU on Windows (without the need to manually install CUDA Toolkit): https://www.pugetsystems.com/labs/hpc/How-to-Install-TensorFlow-with-GPU-Support-on-Windows-10-Without-Installing-CUDA-UPDATED-1419 CUDA will be installed for you automatically using Anaconda.
Or just follow the Fast Instructions I wrote below.
If you want to install CUDA toolkit on your own, or if you want to install the latest tensorflow version, then you need to follow official installation guide.
PYTHONPATH variable.pycocotoolsfrom this clone (works with Windows): https://github.com/philferriere/cocoapi