numpy keras.preprocessing.sequence This function takes original data, sequence length, and batch size as input, generates a random sequence, and uses the pad_sequences method from keras.preprocessing.sequence to ensure all sequences in the batch are of the same length. Function that generates random sequences 2024-12-16 12:11:12 3 views
numpy keras.preprocessing.sequence This function uses Keras library's numpy, keras.preprocessing.sequence, and keras.utils to generate a random string. It first generates a random sequence of integers, then converts the sequence to one-hot encoded vectors, and finally converts these vectors back to a string. Function 2024-12-16 11:43:36 3 views
numpy keras.preprocessing.sequence This function generates a random string of a given length using numpy, converts it to a string, and finally converts these characters to a Keras categorical format. The type of code 2024-12-16 11:30:43 5 views
numpy tensorflow.keras.preprocessing.sequence The function takes an input sequence and a desired length for the random sequence as arguments, then generates a random sequence of integers based on the input sequence and pads it to the same length as the input sequence. Function 2024-12-07 16:22:23 4 views
numpy keras.preprocessing.sequence This function takes an input sequence and a target length, generates a random sequence of the specified length, and pads it to make all sequences have the same length. Function 2024-12-07 16:17:55 5 views
numpy tensorflow.keras.preprocessing.sequence This function takes an input sequence and a number of steps as arguments, generates a random sequence based on the input sequence, and uses the pad_sequences function to pad it to the same length as the input sequence. Function 2024-12-07 16:07:24 3 views
numpy keras.preprocessing.sequence This function takes an input sequence and a length as arguments, then generates a random sequence that has the same elements as the input sequence but in a random order. The generated random sequence is padded to ensure it has a fixed length. Function 2024-12-07 15:38:16 3 views
keras numpy This function takes a list of words and a pre-trained word embedding model as input, and generates word embedding vectors for each word in the list. The function first calculates the maximum length of the words in the list, then pads the sequences to ensure that all sequences have the same length. Next, it uses the word embedding model to predict the padded sequences, and finally, it converts the obtained embedding vectors into a list and returns them. Function 2024-11-30 16:18:05 10 views
Keras Numpy This function uses the Keras library to generate a random character sequence using sequence processing and LSTM models. It first converts the input string to an integer sequence, then uses an LSTM model to predict the next character. Function 2024-11-30 15:53:14 3 views
numpy keras.preprocessing.sequence This function takes a list of data, converts it into fixed-length sequences, and performs padding and one-hot encoding. Function 2024-11-30 15:51:27 5 views
