官术网_书友最值得收藏!

Chapter 2: Getting Started with PyTorch 1.x for NLP

PyTorch is a Python-based machine learning library. It consists of two main features: its ability to efficiently perform tensor operations with hardware acceleration (using GPUs) and its ability to build deep neural networks. PyTorch also uses dynamic computational graphs instead of static ones, which sets it apart from similar libraries such as TensorFlow. By demonstrating how language can be represented using tensors and how neural networks can be used to learn from NLP, we will show that both these features are particularly useful for natural language processing.

In this chapter, we will show you how to get PyTorch up and running on your computer, as well as demonstrate some of its key functionalities. We will then compare PyTorch to some other deep learning frameworks, before exploring some of the NLP functionality of PyTorch, such as its ability to perform tensor operations, and finally demonstrate how to build a simple neural network. In summary, this chapter will cover the following topics:

  • Installing PyTorch
  • Comparing PyTorch to other deep learning frameworks
  • NLP functionality of PyTorch
主站蜘蛛池模板: 文水县| 突泉县| 嘉善县| 手机| 大城县| 大安市| 黑山县| 读书| 潢川县| 漾濞| 江达县| 赫章县| 隆安县| 廊坊市| 永善县| 确山县| 禄劝| 东宁县| 泾川县| 金寨县| 青龙| 巴东县| 布尔津县| 黄冈市| 台北县| 太仓市| 渝北区| 客服| 临潭县| 原阳县| 壤塘县| 墨竹工卡县| 龙岩市| 綦江县| 周宁县| 黄梅县| 嘉定区| 政和县| 安泽县| 扎兰屯市| 嘉峪关市|