Eyal Gruss eyaler

## deep-painterly-harmonization.ipynb

      
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                eyaler
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              April 7, 2022 14:37
            
              
                deep-painterly-harmonization.ipynb
              
          
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## moodle_block_next_until_answered.html
<script type="text/javascript">

  function onLoadHide() { // Hide the [Next page] button:
    var d1 = document.getElementsByClassName("que description informationitem notyetanswered")[0];
    var d2 = document.getElementsByClassName("que description informationitem answersaved")[0];
    if (!d1 && !d2) document.getElementsByClassName("mod_quiz-next-nav btn btn-primary")[0].disabled = true;
  }

  function onAnswerShow() { // Show the [Next page] button:
    document.getElementsByClassName("mod_quiz-next-nav btn btn-primary")[0].disabled = false;

## gsheet_fetcher.py
# to run:
# python gsheet_fetcher.py

try:
    import requests # faster - need to pip install requests
    get = requests.get
    req = True
except:
    import urllib.request
    get = urllib.request.urlopen

## image.html
<!DOCTYPE html>
<html>
  <body style="overflow:hidden; margin:0; text-align:center;">
    <img src="https://file-examples-com.github.io/uploads/2017/10/file_example_JPG_2500kB.jpg" style="height:100vh; max-width:100%; object-fit: contain;">
  </body>
</html>

## timestributed_dropout_error
import numpy
from keras.models import Model
from keras.layers import Input, Dropout, TimeDistributed

batch_size = 10
timesteps = 5
nb_features = 7
dropout = 0.5

input = Input(batch_shape=(batch_size, timesteps, nb_features))
	<script type="text/javascript">

	function onLoadHide() { // Hide the [Next page] button:
	var d1 = document.getElementsByClassName("que description informationitem notyetanswered")[0];
	var d2 = document.getElementsByClassName("que description informationitem answersaved")[0];
	if (!d1 && !d2) document.getElementsByClassName("mod_quiz-next-nav btn btn-primary")[0].disabled = true;
	}

	function onAnswerShow() { // Show the [Next page] button:
	document.getElementsByClassName("mod_quiz-next-nav btn btn-primary")[0].disabled = false;
	# to run:
	# python gsheet_fetcher.py

	try:
	import requests # faster - need to pip install requests
	get = requests.get
	req = True
	except:
	import urllib.request
	get = urllib.request.urlopen
	<!DOCTYPE html>
	<html>
	<body style="overflow:hidden; margin:0; text-align:center;">
	<img src="https://file-examples-com.github.io/uploads/2017/10/file_example_JPG_2500kB.jpg" style="height:100vh; max-width:100%; object-fit: contain;">
	</body>
	</html>
	import numpy
	from keras.models import Model
	from keras.layers import Input, Dropout, TimeDistributed

	batch_size = 10
	timesteps = 5
	nb_features = 7
	dropout = 0.5

	input = Input(batch_shape=(batch_size, timesteps, nb_features))