"So she was considering in her own mind (as well as she could, for the hot day made her feel very sleepy and stupid), whether the pleasure of making a daisy-chain would be worth the trouble of getting up and picking the daisies, when suddenly a White Rabbit with pink eyes ran close by her." "Alice was beginning to get very tired of sitting by her sister on the bank, and of having nothing to do: once or twice she had peeped into the book her sister was reading, but it had no pictures or conversations in it, “and what is the use of a book,” thought Alice “without pictures or conversations?”" For an example showing how to create your own custom mini-batch datastore, see Develop Custom Mini-Batch Datastore. To access this file, open the example as a live script. This file is eattached to this example as a supporting file. You can adapt the custom mini-batch datastore specified by documentGenerationDatastore.m to your data by customizing the functions. Use mini-batch datastores to read out-of-memory data or to perform specific preprocessing operations when reading batches of data. You can use a mini-batch datastore as a source of training, validation, test, and prediction data sets for deep learning applications. The deep learning network is an LSTM network that contains a word embedding layer.Ī mini-batch datastore is an implementation of a datastore with support for reading data in batches. The datastore converts documents to sequences of numeric word indices. It reads and parses the HTML code to extract the relevant text, then uses a custom mini-batch datastore documentGenerationDatastore to input the documents to the network as mini-batches of sequence data. To train the network to predict the next word, specify the responses to be the input sequences shifted by one time step. To train a deep learning network for word-by-word text generation, train a sequence-to-sequence LSTM network to predict the next word in a sequence of words. This example shows how to train a deep learning LSTM network to generate text word-by-word.
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