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Mian xiang zi ran yu yan chu li de shen du xue xi ke cheng : shen du shen jing wang luo zai ji qi xue xi ren wu de ying yong.
面向自然语言处理的深度学习课程 : 深度神经网络在机器学习任务的应用.
Detailed summary in vernacular field.
| Clasificación: | Libro Electrónico |
|---|---|
| Formato: | Electrónico Video |
| Idioma: | Chino Inglés |
| Publicado: |
[Place of publication not identified] :
Pearson,
2017.
|
| Edición: | [First edition]. |
| Colección: | LiveLessons (Indianapolis, Ind.)
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
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| 245 | 1 | 0 | |6 880-01 |a Mian xiang zi ran yu yan chu li de shen du xue xi ke cheng : |b shen du shen jing wang luo zai ji qi xue xi ren wu de ying yong. |
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| 880 | 1 | 0 | |6 245-01/$1 |a 面向自然语言处理的深度学习课程 : |b 深度神经网络在机器学习任务的应用. |
| 880 | |6 520-02/$1 |a 课程简介 5+ 小时 自然语言处理的深度学习直播课是使用深度学习模型处理自然语言数据的直观介绍。是使用深度学习处理自然语言的简介。这些课程通过互动的、实际操作的Jupyter notbokke示例对基本理论进行生动直观的解释。示例使用Python和Keras，这是最流行的深度学习库TensorFlow的高级API。在前期课程中，我们讨论了处理自然语言数据的细节，包括如何将自然语言转换为可以通过机器学习方法轻松处理的数值表示。在后面的课程中，我们将学习利用最先进的深度学习架构来使用自然语言数据进行预测。 Get技能 学习如何, 机器学习应用的自然语言数据预处理, 用word2vec将自然语言转换为数值表示, 利用自然语言训练的深度学习模型进行预测, 将最先进的NLP算法应用于Keras，即高级TensorFlow API, 通过调整超参数提高深度学习模型的性能. | ||
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