srikara srikar2097

## Quickdraw_to_MNISTformat.ipynb

      
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                rajshah4
                / Quickdraw_to_MNISTformat.ipynb
            
            
              Created
              July 14, 2017 20:28
            
              
                Quickdraw npy files to MNIST test/train dataset with visualization
              
          
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## plot_loss+sample.py
#https://gist.github.com/stared/dfb4dfaf6d9a8501cd1cc8b8cb806d2e
class PlotLosses(keras.callbacks.Callback):

    def __init__(self,imgs):
        super(PlotLosses, self).__init__()
        self.imgs=imgs

    def on_train_begin(self, logs={}):
        self.i = 0
        self.x = []

## average_embeddings.py
from collections import Counter, defaultdict
import itertools
import os
import random
import re

import numpy as np

EMBEDDING_FILE = "/u/nlp/data/depparser/nn/data/embeddings/en-cw.txt"
EMBEDDING_SERIALIZED = "embeddings.npz"
	#https://gist.github.com/stared/dfb4dfaf6d9a8501cd1cc8b8cb806d2e
	class PlotLosses(keras.callbacks.Callback):

	def __init__(self,imgs):
	super(PlotLosses, self).__init__()
	self.imgs=imgs

	def on_train_begin(self, logs={}):
	self.i = 0
	self.x = []
	from collections import Counter, defaultdict
	import itertools
	import os
	import random
	import re

	import numpy as np

	EMBEDDING_FILE = "/u/nlp/data/depparser/nn/data/embeddings/en-cw.txt"
	EMBEDDING_SERIALIZED = "embeddings.npz"