EderSantana

Code for Keras plays catch blog post

Train

python qlearn.py

Test

1. Generate figures

bhaettasch

from gensim.models import Word2Vec

# Load pretrained model (since intermediate data is not included, the model cannot be refined with additional data)
model = Word2Vec.load_word2vec_format('GoogleNews-vectors-negative300.bin', binary=True, norm_only=True)

dog = model['dog']
print(dog.shape)
print(dog[:10])

# Deal with an out of dictionary word: Михаил (Michail)

wernull

* {
  background: #000 !important;
  color: #0f0 !important;
  outline: solid #f00 1px !important;
}

GilLevi

Age and Gender Classification using Convolutional Neural Networks

name: Age Classification CNN

caffemodel: age_net.caffemodel

caffemodel_url: https://github.com/GilLevi/AgeGenderDeepLearning/raw/master/models/age_net.caffemodel

apollolm

# the IP(s) on which your node server is running. I chose port 3000.
upstream app_geoforce {
    server 127.0.0.1:3000;
}

upstream app_pcodes{
    server 127.0.0.1:3001;
}

yanofsky

This is free and unencumbered software released into the public domain.

Anyone is free to copy, modify, publish, use, compile, sell, or
distribute this software, either in source code form or as a compiled
binary, for any purpose, commercial or non-commercial, and by any
means.

In jurisdictions that recognize copyright laws, the author or authors
of this software dedicate any and all copyright interest in the
software to the public domain. We make this dedication for the benefit

henrik

tmux cheatsheet

As configured in my dotfiles.

start new:

tmux

start new with session name: