Product: Sagitta Brutalis 1080 (PN S3480-GTX-1080-2697-128)
Software: Hashcat v3.00-beta-145-g069634a, Nvidia driver 367.18
Accelerator: 8x Nvidia GTX 1080 Founders Edition
Product: Sagitta Brutalis 1080 (PN S3480-GTX-1080-2697-128)
Software: Hashcat v3.00-beta-145-g069634a, Nvidia driver 367.18
Accelerator: 8x Nvidia GTX 1080 Founders Edition
These commands are based on a askubuntu answer http://askubuntu.com/a/581497 | |
To install gcc-6 (gcc-6.1.1), I had to do more stuff as shown below. | |
USE THOSE COMMANDS AT YOUR OWN RISK. I SHALL NOT BE RESPONSIBLE FOR ANYTHING. | |
ABSOLUTELY NO WARRANTY. | |
If you are still reading let's carry on with the code. | |
sudo apt-get update && \ | |
sudo apt-get install build-essential software-properties-common -y && \ | |
sudo add-apt-repository ppa:ubuntu-toolchain-r/test -y && \ |
With the availability of huge amount of data for research and powerfull machines to run your code on, Machine Learning and Neural Networks is gaining their foot again and impacting us more than ever in our everyday lives. With huge players like Google opensourcing part of their Machine Learning systems like the TensorFlow software library for numerical computation, there are many options for someone interested in starting off with Machine Learning/Neural Nets to choose from. Caffe, a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC) and its contributors, comes to the play with a fresh cup of coffee.
The following section is divided in to two parts. Caffe's documentation suggest
#!/usr/bin/env python | |
# | |
# Solve LASSO regression problem with ISTA and FISTA | |
# iterative solvers. | |
# Author : Alexandre Gramfort, first.last@telecom-paristech.fr | |
# License BSD | |
import time | |
from math import sqrt |