Udemy MOOC / Non-credit 0

Learn PyTorch for Natural Language Processing

Name: Learn PyTorch for Natural Language Processing
Price: 199.99 USD
Availability: InStock

About this course

PyTorch: written in Python, is grabbing the attention of all data science professionals due to its ease of use over other libraries and its use of dynamic computation graphs. PyTorch is a Deep Learning framework that is a boon for researchers and data scientists.This course takes a practical approach and is filled with real-world examples to help you create your own application using PyTorch! Learn the most commonly used Deep Learning models, techniques, and algorithms through PyTorch code. Get yourself acquainted with the advanced concepts such as Transfer Learning, Natural Language Processing and implementation of Generative Adversarial Networks. Moving further you will build real-world NLP applications such as Sentiment Analyzer & advanced Neural Translation Machine.Contents and OverviewThis training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, PyTorch Deep Learning in 7 Days is for those who are in a hurry to get started with PyTorch. You will be introduced to the most commonly used Deep Learning models, techniques, and algorithms through PyTorch code. This course is an attempt to break the myth that Deep Learning is complicated and show you that with the right choice of tools combined with a simple and intuitive explanation of core concepts, Deep Learning is as accessible as any other application development technologies out there. It’s a journey from diving deep into the fundamentals to getting acquainted with the advanced concepts such as Transfer Learning, Natural Language Processing and implementation of Generative Adversarial Networks. By the end of the course, you will be able to build Deep Learning applications with PyTorch.The second course, Hands-On Natural Language Processing with Pytorch you will build two complete real-world NLP applications throughout the course. The first application is a Sentiment Analyzer that analyzes dat

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What the provider tells you: 45/45
Who stands behind it: 8/35
How complete the listing is: 16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

understand the basics of PyTorch
implement various deep learning models
create NLP applications like sentiment analysis
apply transfer learning techniques
explore generative adversarial networks

Course objectives

to teach foundational concepts of deep learning using PyTorch
to guide students in building practical NLP applications
to introduce advanced techniques in machine learning

Machine Learning Deep Learning #deep learning #machine learning #transfer learning #sentiment analysis #natural language processing #data science #pytorch #neural networks #coding #generative adversarial networks

$199.99

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