sudo apt-get install python3-pip
sudo pip3 install virtualenv
import tensorflow as tf | |
import numpy as np | |
corpus_raw = 'He is the king . The king is royal . She is the royal queen ' | |
# convert to lower case | |
corpus_raw = corpus_raw.lower() | |
words = [] | |
for word in corpus_raw.split(): |
from __future__ import print_function | |
import requests | |
import json | |
import cv2 | |
addr = 'http://localhost:5000' | |
test_url = addr + '/api/test' | |
# prepare headers for http request | |
content_type = 'image/jpeg' |
# | |
# mnist_cnn_bn.py date. 5/21/2016 | |
# date. 6/2/2017 check TF 1.1 compatibility | |
# | |
from __future__ import absolute_import | |
from __future__ import division | |
from __future__ import print_function | |
import os |
from math import sqrt | |
def put_kernels_on_grid (kernel, pad = 1): | |
'''Visualize conv. filters as an image (mostly for the 1st layer). | |
Arranges filters into a grid, with some paddings between adjacent filters. | |
Args: | |
kernel: tensor of shape [Y, X, NumChannels, NumKernels] | |
pad: number of black pixels around each filter (between them) |
""" | |
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) |
#!/bin/bash | |
mkdir -p ~/.ssh | |
# generate new personal ed25519 ssh keys | |
ssh-keygen -o -a 100 -t ed25519 -f ~/.ssh/id_ed25519 -C "rob thijssen <[email protected]>" | |
ssh-keygen -o -a 100 -t ed25519 -f ~/.ssh/id_robtn -C "rob thijssen <[email protected]>" | |
# generate new host cert authority (host_ca) ed25519 ssh key | |
# used for signing host keys and creating host certs |
#! /usr/bin/env python | |
""" | |
Author: Jeremy M. Stober | |
Program: SOFTMAX.PY | |
Date: Wednesday, February 29 2012 | |
Description: Simple softmax function. | |
""" | |
import numpy as np | |
npa = np.array |