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Deep Learning for Natural Language Processing: Deep Neural Networks to Machine Learning Tasks

Ho Quang Dai by Ho Quang Dai
August 16, 2018
in Livelessons
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  1. Deep Learning for Natural Language Processing: Deep Neural Networks to Machine Learning Tasks – Deep Learning for Natural Language Processing
  2. Screenshot Tutorials/Courses
  3. Info Tutorials/Courses
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Deep Learning for Natural Language Processing: Deep Neural Networks to Machine Learning Tasks – Deep Learning for Natural Language Processing

An intuitive introduction to the processing of natural language data with Deep Learning models Deep Learning for Natural Language Processing LiveLessons is an introduction to the processing of natural language with Deep Learning. These lessons bring intuitive explanations of essential theory to life with an interactive, hands-on Jupyter notebook demo. Examples feature Python and Keras, the high-level API for TensorFlow, the most popular Deep Learning library. In the early lessons, the specifics of working with natural language data are covered, including how to convert natural language into numerical representations that can be readily processed by machine learning approaches. In the later lessons, state-of-the-art Deep Learning architectures are leveraged to make predictions with natural language data.

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Table of Contents:
– Introduction
– Lesson 1: The Power and Elegance of Deep Learning for NLP
– Lesson 2: Word Vectors
– Lesson 3: Modeling Natural Language Data
– Lesson 4: Recurrent Neural Networks
– Lesson 5: Advanced Models
– Summary

Screenshot Tutorials/Courses

Info Tutorials/Courses

Producer: Livelessons
Language: English
Teacher: Jon Krohn
Level of training: Preliminary
time of training: 5 hours + 30 minutes
File size: 6440 MB

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