Getting Started with NLP Deep Learning Using PyTorch and fastai (Gianni Rosa Gallina, 2019)

Creation Time	June 18, 2024, 1:44 a.m.
Last Access Time	Sept. 30, 2024, 7:08 a.m.
File Size	945.5 MB
Keywords	and NLP Getting Started fastai Deep Rosa PyTorch 2019 Learning Gianni Using Gallina with
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Total Files	92
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exercise.7z 632.9 MB
4. Building a TextTopic Classifier with Transfer Learning/2. Preparing the Data.mp4 25.0 MB
3. Setting up a Development Environment/2. Set up a Dev Environment for fastai 1.0.mp4 22.8 MB
4. Building a TextTopic Classifier with Transfer Learning/6. Training a Document Classifier with Transfer Learning.mp4 18.2 MB
4. Building a TextTopic Classifier with Transfer Learning/3. Introduction to Language Models.mp4 17.0 MB
4. Building a TextTopic Classifier with Transfer Learning/7. Discussing the Results and Summary.mp4 14.6 MB
4. Building a TextTopic Classifier with Transfer Learning/5. Finalizing Language Model Tuning and Testing.mp4 12.7 MB
4. Building a TextTopic Classifier with Transfer Learning/4. Language Model Fine-tuning.mp4 12.4 MB
6. Going from Prototype to Production/1. Introduction and Dev Environment Setup.mp4 11.0 MB
5. Using Deep Learning for NLP/10. Batch Data Loading.mp4 10.4 MB
7. Building a Custom Language Model from Scratch/2. Getting the Data.mp4 10.2 MB
6. Going from Prototype to Production/7. Deploy the Production Image.mp4 9.8 MB
4. Building a TextTopic Classifier with Transfer Learning/1. Module Overview.mp4 9.7 MB
6. Going from Prototype to Production/3. Scoring Script for Local Test.mp4 9.4 MB
7. Building a Custom Language Model from Scratch/3. Text Pre-processing.mp4 8.9 MB
5. Using Deep Learning for NLP/03. Introduction to ULMFiT.mp4 8.7 MB
5. Using Deep Learning for NLP/09. Text Pre-processing.mp4 7.9 MB
3. Setting up a Development Environment/3. Other Dev Environment Options.mp4 6.4 MB
5. Using Deep Learning for NLP/06. AWD-LSTM Language Model.mp4 6.0 MB
2. Exploring the fastai Library/2. Introducing the fastai Library.mp4 5.7 MB
7. Building a Custom Language Model from Scratch/4. Pre-train the Language Model.mp4 5.6 MB
8. Recapping and Next Steps/1. Course Recap.mp4 5.3 MB
8. Recapping and Next Steps/2. Next Steps.mp4 5.3 MB
6. Going from Prototype to Production/2. Preparing a Model for Production.mp4 5.1 MB
6. Going from Prototype to Production/6. Create the Production Image.mp4 5.0 MB
6. Going from Prototype to Production/4. Set up Azure ML Workspace.mp4 4.8 MB
5. Using Deep Learning for NLP/05. Hyper-parameters Scheduling.mp4 4.7 MB
3. Setting up a Development Environment/1. Requirements and Install Options.mp4 4.2 MB
2. Exploring the fastai Library/3. What Else Can You Do with the fastai Library.mp4 4.0 MB
7. Building a Custom Language Model from Scratch/5. Verify the Quality of the Language Model.mp4 3.9 MB
5. Using Deep Learning for NLP/07. Dropout.mp4 3.8 MB
1. Course Overview/1. Course Overview.mp4 3.6 MB
6. Going from Prototype to Production/8. Test the Web Service.mp4 3.4 MB
5. Using Deep Learning for NLP/08. Embedding Layer.mp4 3.1 MB
5. Using Deep Learning for NLP/11. Summary.mp4 3.1 MB
7. Building a Custom Language Model from Scratch/6. Scripts for Training the Full Model.mp4 3.0 MB
2. Exploring the fastai Library/4. Whats a Great Way to Learn MLDL.mp4 3.0 MB
5. Using Deep Learning for NLP/04. Discriminitive Fine-tuning.mp4 2.8 MB
5. Using Deep Learning for NLP/02. Transfer Learning and Fine-tuning.mp4 2.5 MB
5. Using Deep Learning for NLP/01. Introduction.mp4 2.1 MB
6. Going from Prototype to Production/5. Scoring Script for AML Services.mp4 1.9 MB
7. Building a Custom Language Model from Scratch/1. Introduction.mp4 1.9 MB
6. Going from Prototype to Production/9. Summary.mp4 1.7 MB
7. Building a Custom Language Model from Scratch/7. Summary.mp4 1.0 MB
2. Exploring the fastai Library/1. Version Check.mp4 749.1 KB
cover.jpg 83.8 KB
5. Using Deep Learning for NLP/03. Introduction to ULMFiT.vtt 11.7 KB
4. Building a TextTopic Classifier with Transfer Learning/6. Training a Document Classifier with Transfer Learning.vtt 10.5 KB
4. Building a TextTopic Classifier with Transfer Learning/3. Introduction to Language Models.vtt 8.4 KB
5. Using Deep Learning for NLP/10. Batch Data Loading.vtt 8.4 KB
4. Building a TextTopic Classifier with Transfer Learning/2. Preparing the Data.vtt 8.3 KB
4. Building a TextTopic Classifier with Transfer Learning/5. Finalizing Language Model Tuning and Testing.vtt 7.8 KB
4. Building a TextTopic Classifier with Transfer Learning/4. Language Model Fine-tuning.vtt 6.6 KB
4. Building a TextTopic Classifier with Transfer Learning/7. Discussing the Results and Summary.vtt 6.2 KB
2. Exploring the fastai Library/2. Introducing the fastai Library.vtt 6.2 KB
8. Recapping and Next Steps/2. Next Steps.vtt 6.1 KB
4. Building a TextTopic Classifier with Transfer Learning/1. Module Overview.vtt 6.0 KB
7. Building a Custom Language Model from Scratch/2. Getting the Data.vtt 5.9 KB
5. Using Deep Learning for NLP/09. Text Pre-processing.vtt 5.9 KB
6. Going from Prototype to Production/3. Scoring Script for Local Test.vtt 5.8 KB
3. Setting up a Development Environment/2. Set up a Dev Environment for fastai 1.0.vtt 5.6 KB
6. Going from Prototype to Production/1. Introduction and Dev Environment Setup.vtt 5.3 KB
2. Exploring the fastai Library/3. What Else Can You Do with the fastai Library.vtt 5.1 KB
3. Setting up a Development Environment/1. Requirements and Install Options.vtt 5.1 KB
5. Using Deep Learning for NLP/05. Hyper-parameters Scheduling.vtt 4.9 KB
3. Setting up a Development Environment/3. Other Dev Environment Options.vtt 4.8 KB
7. Building a Custom Language Model from Scratch/3. Text Pre-processing.vtt 4.6 KB
8. Recapping and Next Steps/1. Course Recap.vtt 4.4 KB
5. Using Deep Learning for NLP/11. Summary.vtt 4.1 KB
2. Exploring the fastai Library/4. Whats a Great Way to Learn MLDL.vtt 4.1 KB
5. Using Deep Learning for NLP/07. Dropout.vtt 4.0 KB
7. Building a Custom Language Model from Scratch/4. Pre-train the Language Model.vtt 3.9 KB
6. Going from Prototype to Production/7. Deploy the Production Image.vtt 3.9 KB
5. Using Deep Learning for NLP/08. Embedding Layer.vtt 3.8 KB
5. Using Deep Learning for NLP/06. AWD-LSTM Language Model.vtt 3.7 KB
5. Using Deep Learning for NLP/04. Discriminitive Fine-tuning.vtt 3.5 KB
6. Going from Prototype to Production/6. Create the Production Image.vtt 3.4 KB
6. Going from Prototype to Production/2. Preparing a Model for Production.vtt 3.4 KB
5. Using Deep Learning for NLP/02. Transfer Learning and Fine-tuning.vtt 3.3 KB
playlist.m3u 3.1 KB
5. Using Deep Learning for NLP/01. Introduction.vtt 2.9 KB
7. Building a Custom Language Model from Scratch/5. Verify the Quality of the Language Model.vtt 2.5 KB
6. Going from Prototype to Production/9. Summary.vtt 2.5 KB
1. Course Overview/1. Course Overview.vtt 2.3 KB
6. Going from Prototype to Production/4. Set up Azure ML Workspace.vtt 2.3 KB
6. Going from Prototype to Production/8. Test the Web Service.vtt 1.9 KB
7. Building a Custom Language Model from Scratch/6. Scripts for Training the Full Model.vtt 1.8 KB
7. Building a Custom Language Model from Scratch/7. Summary.vtt 1.7 KB
~i.txt 1.5 KB
7. Building a Custom Language Model from Scratch/1. Introduction.vtt 1.5 KB
6. Going from Prototype to Production/5. Scoring Script for AML Services.vtt 812 bytes
2. Exploring the fastai Library/1. Version Check.vtt 7 bytes

Getting Started with NLP Deep Learning Using PyTorch and fastai (Gianni Rosa Gallina, 2019)

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