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Requirements

• no upfront installation/agents on remote/slave machines - ssh should be enough
• application components should use third-party software, e.g. HDFS, Spark's cluster, deployed separately
• configuration templating
• environment requires/asserts, i.e. we need a JVM in a given version before doing deployment
• deployment process run from Jenkins

Solution

dotran

TensorFlow development environment on Windows using Docker

Here are instructions to set up TensorFlow dev environment on Docker if you are running Windows, and configure it so that you can access Jupyter Notebook from within the VM + edit files in your text editor of choice on your Windows machine.

Installation

First, install https://www.docker.com/docker-toolbox

Since this is Windows, creating the Docker group "docker" is not necessary.

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"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

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tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname

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