Code | Title | Duration | Link |
---|---|---|---|
Keynote | Andy Jassy Keynote Announcement Recap | 0:01 | https://www.youtube.com/watch?v=TZCxKAM2GtQ |
Keynote | AWS re:Invent 2016 Keynote: Andy Jassy | 2:22 | https://www.youtube.com/watch?v=8RrbUyw9uSg |
Keynote | AWS re:Invent 2016 Keynote: Werner Vogels | 2:16 | https://www.youtube.com/watch?v=ZDScBNahsL4 |
Keynote | [Tuesday Night Live with Jame |
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# required tensorflow 0.12 | |
# required gensim 0.13.3+ for new api model.wv.index2word or just use model.index2word | |
from gensim.models import Word2Vec | |
import tensorflow as tf | |
from tensorflow.contrib.tensorboard.plugins import projector | |
# loading your gensim | |
model = Word2Vec.load("YOUR-MODEL") |
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def sample_gumbel(shape, eps=1e-20): | |
"""Sample from Gumbel(0, 1)""" | |
U = tf.random_uniform(shape,minval=0,maxval=1) | |
return -tf.log(-tf.log(U + eps) + eps) | |
def gumbel_softmax_sample(logits, temperature): | |
""" Draw a sample from the Gumbel-Softmax distribution""" | |
y = logits + sample_gumbel(tf.shape(logits)) | |
return tf.nn.softmax( y / temperature) |
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import json | |
import markovify | |
import re | |
import time | |
from slackclient import SlackClient | |
BOT_TOKEN = "insert bot token here" |
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""" | |
Beam decoder for tensorflow | |
Sample usage: | |
``` | |
from tf_beam_decoder import beam_decoder | |
decoded_sparse, decoded_logprobs = beam_decoder( | |
cell=cell, |
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#Source code with the blog post at http://monik.in/a-noobs-guide-to-implementing-rnn-lstm-using-tensorflow/ | |
import numpy as np | |
import random | |
from random import shuffle | |
import tensorflow as tf | |
# from tensorflow.models.rnn import rnn_cell | |
# from tensorflow.models.rnn import rnn | |
NUM_EXAMPLES = 10000 |
In this article, I will share some of my experience on installing NVIDIA driver and CUDA on Linux OS. Here I mainly use Ubuntu as example. Comments for CentOS/Fedora are also provided as much as I can.
This gist has been moved to https://github.com/offchan42/machine-learning-curriculum
Please see that repository instead because you can make pull requests there and later updates will be pushed there too.
===
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# Working example for my blog post at: | |
# http://danijar.com/variable-sequence-lengths-in-tensorflow/ | |
import functools | |
import sets | |
import tensorflow as tf | |
from tensorflow.models.rnn import rnn_cell | |
from tensorflow.models.rnn import rnn | |
def lazy_property(function): |
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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 && \ |