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Hands-On Natural Language Processing with PyTorch
Hands-On Natural Language Processing with PyTorch

Hands-On Natural Language Processing with PyTorch: Build smart language applications using Deep Learning

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Profile Icon Jibin Mathew
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Can$174.99
Video Jan 2019 2hrs 24mins 1st Edition
Video
Can$174.99
Subscription
Free Trial
Arrow left icon
Profile Icon Jibin Mathew
Arrow right icon
Can$174.99
Video Jan 2019 2hrs 24mins 1st Edition
Video
Can$174.99
Subscription
Free Trial
Video
Can$174.99
Subscription
Free Trial

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Key benefits

  • Hands-on projects covering various NLP applications
  • Practical guidance on data preprocessing and model implementation
  • In-depth understanding of advanced NLP concepts
  • Expert insights into PyTorch and its applications in NLP

Description

The main goal of this course is to train you to perform complex NLP tasks (and build intelligent language applications) using Deep Learning with PyTorch. You will build two complete real-world NLP applications throughout the course. The first application is a Sentiment Analyzer that analyzes data to determine whether a review is positive or negative towards a particular movie. You will then create an advanced Neural Translation Machine that is a speech translation engine, using Sequence to Sequence models with the speed and flexibility of PyTorch to translate given text into different languages. By the end of the course, you will have the skills to build your own real-world NLP models using PyTorch's Deep Learning capabilities. The code bundle for this video course is available at - https://github.com/PacktPublishing/Hands-On-Natural-Language-Processing-with-Pytorch This course uses Python 3.6, Pytorch 1.0, NLTK 3.3.0, and Spacy 2.0 , while not the latest version available, it provides relevant and informative content for legacy users of PyTorch.

Who is this book for?

If you’re a developer, researcher or aspiring AI data scientist ready to dive deeper into this rapidly growing area of artificial intelligence then this course is for you! Some basic Machine learning background & experience in programming with Python is required.

What you will learn

  • Setup and utilize PyTorch for NLP tasks
  • Perform data cleaning and preprocessing using NLTK and spaCy
  • Implement word embeddings with gensim
  • Build and train RNNs and LSTMs for sentiment analysis
  • Develop neural machine translators using seq2seq architecture
  • Enhance translation models with attention networks

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jan 31, 2019
Length: 2hrs 24mins
Edition : 1st
Language : English
ISBN-13 : 9781789133974
Category :
Languages :
Concepts :
Tools :

What do you get with a video?

Product feature icon Download this video in MP4 format
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want

Product Details

Publication date : Jan 31, 2019
Length: 2hrs 24mins
Edition : 1st
Language : English
ISBN-13 : 9781789133974
Category :
Languages :
Concepts :
Tools :

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Table of Contents

6 Chapters
Up and Running with PyTorch Chevron down icon Chevron up icon
Data Cleaning and Preprocessing for Sentiment Analysis Chevron down icon Chevron up icon
Implement Word Embeddings with gensim Chevron down icon Chevron up icon
Train RNNs and LSTMs Units for Sentiment Analysis Chevron down icon Chevron up icon
Build a Neural Machine Translator Chevron down icon Chevron up icon
Improve the Neural Machine Translation with Attention Networks Chevron down icon Chevron up icon
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