Getting Started with NLP Deep Learning Using PyTorch 1 and fastai 1

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Gianni Rosa Gallina

2:12:44

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01.Course Overview

0101.Course Overview.mp4

01:37

02.Exploring the fastai Library

0201.Introducing the fastai Library.mp4

03:54

0202.What Else Can You Do with the fastai Library.mp4

03:02

0203.Whats a Great Way to Learn MLDL.mp4

02:33

03.Setting up a Development Environment

0301.Requirements and Install Options.mp4

03:43

0302.Set up a Dev Environment for fastai 1.0.mp4

04:05

0303.Other Dev Environment Options.mp4

03:10

04.Building a TextTopic Classifier with Transfer Learning

0401.Module Overview.mp4

04:07

0402.Preparing the Data.mp4

05:45

0403.Introduction to Language Models.mp4

05:31

0404.Language Model Fine-tuning.mp4

04:34

0405.Finalizing Language Model Tuning and Testing.mp4

04:57

0406.Training a Document Classifier with Transfer Learning.mp4

07:12

0407.Discussing the Results and Summary.mp4

04:22

05.Using Deep Learning for NLP

0501.Introduction.mp4

01:40

0502.Transfer Learning and Fine-tuning.mp4

01:59

0503.Introduction to ULMFiT.mp4

06:46

0504.Discriminitive Fine-tuning.mp4

02:06

0505.Hyper-parameters Scheduling.mp4

02:58

0506.AWD-LSTM Language Model.mp4

02:22

0507.Dropout.mp4

02:35

0508.Embedding Layer.mp4

02:25

0509.Text Pre-processing.mp4

03:44

0510.Batch Data Loading.mp4

05:35

0511.Summary.mp4

02:33

06.Going from Prototype to Production

0601.Introduction and Dev Environment Setup.mp4

03:26

0602.Preparing a Model for Production.mp4

02:06

0603.Scoring Script for Local Test.mp4

03:40

0604.Set up Azure ML Workspace.mp4

01:30

0605.Scoring Script for AML Services.mp4

00:31

0606.Create the Production Image.mp4

02:15

0607.Deploy the Production Image.mp4

02:34

0608.Test the Web Service.mp4

01:21

0609.Summary.mp4

01:31

07.Building a Custom Language Model from Scratch

0701.Introduction.mp4

01:01

0702.Getting the Data.mp4

03:52

0703.Text Pre-processing.mp4

02:56

0704.Pre-train the Language Model.mp4

02:32

0705.Verify the Quality of the Language Model.mp4

01:34

0706.Scripts for Training the Full Model.mp4

01:14

0707.Summary.mp4

00:58

08.Recapping and Next Steps

0801.Course Recap.mp4

02:44

0802.Next Steps.mp4

03:44

Exercise Files

getting-started-nlp-deep-learning-pytorch-fastai.zip

Description

This course will teach you how to start using fastai library and PyTorch to obtain near-state-of-the-art results with Deep Learning NLP for text classification. It will give you a theoretical background and show how to take models to production.

What You'll Learn?

In this course, Getting Started with NLP Deep Learning Using PyTorch and fastai, we'll have a look at the amazing fastai library, built on top of the PyTorch Deep Learning Framework, to learn how to perform Natural Language Processing (NLP) with Deep Neural Networks, and how to achieve some of the most recent state-of-the-art results in text classification.

First, we’ll learn how to train a model for text classification very quickly, thanks to the fastai library and transfer learning. Next, we'll explore some of the theory behind Deep Learning NLP techniques, and how to deploy our models to production in Microsoft Azure. Finally, we’ll discover how to train a custom language model from scratch.

When you’re finished with this course, you’ll know why fastai and PyTorch are great frameworks, how to train deep learning models for NLP tasks on your own datasets, and how to bring them to production.

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Python

Deep Learning

PyTorch

Gianni Rosa Gallina

Instructor's Courses

Gianni is an R&D Technical Lead in Deltatre's Innovation Lab, based in Italy, designing and prototyping next-generation solutions for sport-related experiences and services, from VR/MR apps to end-to-end Azure architectures, passing by Cognitive Services, AI, and much more. Gianni has been a Microsoft MVP since 2011, focused on emerging technologies, AI and Virtual/Augmented/Mixed Reality since 2013. Besides that, he's an active member of the local community, "Torino Technologies Group" (TTG), an organizer and trainer for Coding Gym Torino monthly meetups, he publishes articles on his blog, and speaks in national and international tech conferences and events.

Pluralsight

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Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.