---
product_id: 99451326
title: "Natural Language Processing with PyTorch: Build Intelligent Language Applications Using Deep Learning"
price: "S/.427"
currency: PEN
in_stock: true
reviews_count: 13
url: https://www.desertcart.pe/products/99451326-natural-language-processing-with-pytorch-build-intelligent-language-applications-using
store_origin: PE
region: Peru
---

# Natural Language Processing with PyTorch: Build Intelligent Language Applications Using Deep Learning

**Price:** S/.427
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- **What is this?** Natural Language Processing with PyTorch: Build Intelligent Language Applications Using Deep Learning
- **How much does it cost?** S/.427 with free shipping
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Natural Language Processing with PyTorch: Build Intelligent Language Applications Using Deep Learning [Rao, Delip, McMahan, Brian] on desertcart.com. *FREE* shipping on qualifying offers. Natural Language Processing with PyTorch: Build Intelligent Language Applications Using Deep Learning

Review: Great for beginners in NLP and deep learning frameworks - I am new to NLP and deep learning frameworks, though I have advanced experience in structured data machine learning and basic experience coding my own baby neural nets from scratch in python. I was struggling to find a way into a deep learning framework like tensorflow or pytorch that would bridge the gap between my desire to take a particular problem formulation (inputs, activation functions, layers, output, loss function) and code it in a framework using best practice design patterns. Most framework tutorials I found start out more like a magic black box, and that's not the way I like to learn given my background. This book teaches NLP basics from the ground up along with a strong design pattern coded in python/pytorch. It teaches it seamlessly by starting from a simple example and continuing with other more advanced examples that keep using the same design pattern over and over again. For me, this is the best way to learn and remember. It has given me a foundation on how to sit down and code my own solution in an organized fashion using proper python object oriented practices. My biggest challenge moving from structured data problems to NLP is knowing how to represent the text input to a model and then feeling comfortable writing maintainable code that prepares the data according to that representation. The authors step you through this, and also even offer the code that munges the data into shape for each example, which I found helpful for rounding out my text-based python skills. I feel very confident I can build my own library or dive into other PyTorch/Fastai models knowing what is going on and what to look out for. So many helpful modeling and PyTorch details are given along the way. I'm truly grateful for this book to get me over the hump in the NLP space.
Review: Solid for beginners - Pretty good introduction book for NLP newcomers like me. It kinda goes all the way from the beginning (perceptron and basic pytorch) so if you have never been exposed to NLP this is the right book for you

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #770,071 in Books ( See Top 100 in Books ) #129 in Data Mining (Books) #189 in Natural Language Processing (Books) #215 in Data Processing |
| Customer Reviews | 4.1 4.1 out of 5 stars (67) |
| Dimensions  | 7 x 0.5 x 9.25 inches |
| Edition  | 1st |
| ISBN-10  | 1491978236 |
| ISBN-13  | 978-1491978238 |
| Item Weight  | 14.1 ounces |
| Language  | English |
| Print length  | 254 pages |
| Publication date  | February 19, 2019 |
| Publisher  | O'Reilly Media |

## Images

![Natural Language Processing with PyTorch: Build Intelligent Language Applications Using Deep Learning - Image 1](https://m.media-amazon.com/images/I/91Tzd4q9DhL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Great for beginners in NLP and deep learning frameworks
*by M***E on March 12, 2019*

I am new to NLP and deep learning frameworks, though I have advanced experience in structured data machine learning and basic experience coding my own baby neural nets from scratch in python. I was struggling to find a way into a deep learning framework like tensorflow or pytorch that would bridge the gap between my desire to take a particular problem formulation (inputs, activation functions, layers, output, loss function) and code it in a framework using best practice design patterns. Most framework tutorials I found start out more like a magic black box, and that's not the way I like to learn given my background. This book teaches NLP basics from the ground up along with a strong design pattern coded in python/pytorch. It teaches it seamlessly by starting from a simple example and continuing with other more advanced examples that keep using the same design pattern over and over again. For me, this is the best way to learn and remember. It has given me a foundation on how to sit down and code my own solution in an organized fashion using proper python object oriented practices. My biggest challenge moving from structured data problems to NLP is knowing how to represent the text input to a model and then feeling comfortable writing maintainable code that prepares the data according to that representation. The authors step you through this, and also even offer the code that munges the data into shape for each example, which I found helpful for rounding out my text-based python skills. I feel very confident I can build my own library or dive into other PyTorch/Fastai models knowing what is going on and what to look out for. So many helpful modeling and PyTorch details are given along the way. I'm truly grateful for this book to get me over the hump in the NLP space.

### ⭐⭐⭐⭐ Solid for beginners
*by Y***G on July 11, 2020*

Pretty good introduction book for NLP newcomers like me. It kinda goes all the way from the beginning (perceptron and basic pytorch) so if you have never been exposed to NLP this is the right book for you

### ⭐⭐⭐⭐⭐ Good, short read
*by M***L on August 26, 2019*

The book is thin, but it's concise. They not only cover the basics of NLP, which I needed to clarify a lot of my previous studies, but they give complete examples in their GitHub repo that just work with minimal fuss/muss. They get you going with PyTorch from the ground up. Everything is absolutely clear (to me) and there's no "clearly" or "left to the reader" academic bs. Some disclaimers: you should at least be familiar with numpy/pandas and have a solid grounding in Python. Yes, I will finish this book and it's examples in 2-3 weeks, but it has truly jump started my efforts in a new domain.

## Frequently Bought Together

- Natural Language Processing with PyTorch: Build Intelligent Language Applications Using Deep Learning
- Natural Language Processing with Transformers, Revised Edition
- Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD

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*Product available on Desertcart Peru*
*Store origin: PE*
*Last updated: 2026-03-16*