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About Deep Learning For Information Retrieval
The tutorial provided an overview of deep learning for information retrieval. It began with an introduction to word embeddings using the Skip-Gram with Negative Sampling model and Word2Vec tool. It then discussed recurrent neural networks and their ability to handle sequence data like text. Finally, it briefly introduced convolutional neural networks. The tutorial aimed to provide the basics of deep learning methods that can be applied to problems in information retrieval.
Detailed Information
| Author: | ['Ricardo Carlini Sperandio'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 136 |
| Language: | English |
| Format: | |
| Price: | FREE |
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