Ramon Viñas rvinas

rvinas / language_model_generator.py

Last active October 30, 2022 00:17

	# StackOverflow question: https://stackoverflow.com/questions/51123481/how-to-build-a-language-model-using-lstm-that-assigns-probability-of-occurence-f
	from keras.preprocessing.text import Tokenizer
	from keras.preprocessing.sequence import pad_sequences
	from keras.layers import Embedding, LSTM, Dense
	from keras.models import Sequential
	import keras
	import numpy as np


	def prepare_sentence(seq, maxlen):

rvinas / 53105294_implementing-a-batch-dependent-loss-in-keras.py

Last active November 8, 2018 16:15

Solution for "Implementing a batch dependent loss in Keras" (StackOverflow)

	# StackOverflow question: https://stackoverflow.com/questions/53105294/implementing-a-batch-dependent-loss-in-keras
	from keras.utils import Sequence
	from keras.models import Model
	from keras.layers import Input, Dense
	import keras.backend as K
	import numpy as np

	# Constants
	input_dim = 64 # digits.data.shape[1]
	dataset = np.random.rand(1000, input_dim) # TODO: replace with digits.data

rvinas / language_model.py

Last active April 11, 2023 14:58

Computing the probability of occurrence of a sentence with a LSTM model using Keras

	# StackOverflow question: https://stackoverflow.com/questions/51123481/how-to-build-a-language-model-using-lstm-that-assigns-probability-of-occurence-f
	from keras.preprocessing.text import Tokenizer
	from keras.preprocessing.sequence import pad_sequences
	from keras.layers import Embedding, LSTM, Dense
	from keras.models import Sequential
	import numpy as np


	def prepare_sentence(seq, maxlen):
	# Pads seq and slides windows