# Tutorials

- [Quick Start](https://deeplearning4j.konduit.ai/deeplearning4j/tutorials/quick-start.md): Quickstart for Java using Maven
- [Language Processing](https://deeplearning4j.konduit.ai/deeplearning4j/tutorials/language-processing.md): Overview of language processing in DL4J
- [Doc2Vec](https://deeplearning4j.konduit.ai/deeplearning4j/tutorials/language-processing/doc2vec.md): Doc2Vec and arbitrary documents for language processing in DL4J.
- [Sentence Iterator](https://deeplearning4j.konduit.ai/deeplearning4j/tutorials/language-processing/sentence-iterator.md): Iteration of words, documents, and sentences for language processing in DL4J.
- [Tokenization](https://deeplearning4j.konduit.ai/deeplearning4j/tutorials/language-processing/tokenization.md): Breaking text into individual words for language processing in DL4J.
- [Vocabulary Cache](https://deeplearning4j.konduit.ai/deeplearning4j/tutorials/language-processing/vocabulary-cache.md): Mechanism for handling general NLP tasks in DL4J.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://deeplearning4j.konduit.ai/deeplearning4j/tutorials.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.