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Getting Started with NLP Deep Learning Using PyTorch and fastai (Gianni Rosa Gallina, 2019)
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文档列表
exercise.7z
663.6 MB
4. Building a TextTopic Classifier with Transfer Learning/2. Preparing the Data.mp4
26.2 MB
3. Setting up a Development Environment/2. Set up a Dev Environment for fastai 1.0.mp4
23.9 MB
4. Building a TextTopic Classifier with Transfer Learning/6. Training a Document Classifier with Transfer Learning.mp4
19.1 MB
4. Building a TextTopic Classifier with Transfer Learning/3. Introduction to Language Models.mp4
17.9 MB
4. Building a TextTopic Classifier with Transfer Learning/7. Discussing the Results and Summary.mp4
15.3 MB
4. Building a TextTopic Classifier with Transfer Learning/5. Finalizing Language Model Tuning and Testing.mp4
13.4 MB
4. Building a TextTopic Classifier with Transfer Learning/4. Language Model Fine-tuning.mp4
13.0 MB
6. Going from Prototype to Production/1. Introduction and Dev Environment Setup.mp4
11.6 MB
5. Using Deep Learning for NLP/10. Batch Data Loading.mp4
10.9 MB
7. Building a Custom Language Model from Scratch/2. Getting the Data.mp4
10.7 MB
6. Going from Prototype to Production/7. Deploy the Production Image.mp4
10.3 MB
4. Building a TextTopic Classifier with Transfer Learning/1. Module Overview.mp4
10.1 MB
6. Going from Prototype to Production/3. Scoring Script for Local Test.mp4
9.9 MB
7. Building a Custom Language Model from Scratch/3. Text Pre-processing.mp4
9.3 MB
5. Using Deep Learning for NLP/03. Introduction to ULMFiT.mp4
9.1 MB
5. Using Deep Learning for NLP/09. Text Pre-processing.mp4
8.3 MB
3. Setting up a Development Environment/3. Other Dev Environment Options.mp4
6.7 MB
5. Using Deep Learning for NLP/06. AWD-LSTM Language Model.mp4
6.3 MB
2. Exploring the fastai Library/2. Introducing the fastai Library.mp4
6.0 MB
7. Building a Custom Language Model from Scratch/4. Pre-train the Language Model.mp4
5.8 MB
8. Recapping and Next Steps/1. Course Recap.mp4
5.6 MB
8. Recapping and Next Steps/2. Next Steps.mp4
5.5 MB
6. Going from Prototype to Production/2. Preparing a Model for Production.mp4
5.3 MB
6. Going from Prototype to Production/6. Create the Production Image.mp4
5.3 MB
6. Going from Prototype to Production/4. Set up Azure ML Workspace.mp4
5.0 MB
5. Using Deep Learning for NLP/05. Hyper-parameters Scheduling.mp4
4.9 MB
3. Setting up a Development Environment/1. Requirements and Install Options.mp4
4.4 MB
2. Exploring the fastai Library/3. What Else Can You Do with the fastai Library.mp4
4.2 MB
7. Building a Custom Language Model from Scratch/5. Verify the Quality of the Language Model.mp4
4.1 MB
5. Using Deep Learning for NLP/07. Dropout.mp4
4.0 MB
1. Course Overview/1. Course Overview.mp4
3.7 MB
6. Going from Prototype to Production/8. Test the Web Service.mp4
3.6 MB
5. Using Deep Learning for NLP/08. Embedding Layer.mp4
3.3 MB
5. Using Deep Learning for NLP/11. Summary.mp4
3.3 MB
7. Building a Custom Language Model from Scratch/6. Scripts for Training the Full Model.mp4
3.2 MB
2. Exploring the fastai Library/4. Whats a Great Way to Learn MLDL.mp4
3.1 MB
5. Using Deep Learning for NLP/04. Discriminitive Fine-tuning.mp4
2.9 MB
5. Using Deep Learning for NLP/02. Transfer Learning and Fine-tuning.mp4
2.6 MB
5. Using Deep Learning for NLP/01. Introduction.mp4
2.2 MB
6. Going from Prototype to Production/5. Scoring Script for AML Services.mp4
2.0 MB
7. Building a Custom Language Model from Scratch/1. Introduction.mp4
2.0 MB
6. Going from Prototype to Production/9. Summary.mp4
1.8 MB
7. Building a Custom Language Model from Scratch/7. Summary.mp4
1.1 MB
2. Exploring the fastai Library/1. Version Check.mp4
767.1 kB
cover.jpg
85.8 kB
5. Using Deep Learning for NLP/03. Introduction to ULMFiT.vtt
12.0 kB
4. Building a TextTopic Classifier with Transfer Learning/6. Training a Document Classifier with Transfer Learning.vtt
10.7 kB
4. Building a TextTopic Classifier with Transfer Learning/3. Introduction to Language Models.vtt
8.6 kB
5. Using Deep Learning for NLP/10. Batch Data Loading.vtt
8.6 kB
4. Building a TextTopic Classifier with Transfer Learning/2. Preparing the Data.vtt
8.5 kB
4. Building a TextTopic Classifier with Transfer Learning/5. Finalizing Language Model Tuning and Testing.vtt
8.0 kB
4. Building a TextTopic Classifier with Transfer Learning/4. Language Model Fine-tuning.vtt
6.8 kB
4. Building a TextTopic Classifier with Transfer Learning/7. Discussing the Results and Summary.vtt
6.4 kB
2. Exploring the fastai Library/2. Introducing the fastai Library.vtt
6.3 kB
8. Recapping and Next Steps/2. Next Steps.vtt
6.2 kB
4. Building a TextTopic Classifier with Transfer Learning/1. Module Overview.vtt
6.1 kB
7. Building a Custom Language Model from Scratch/2. Getting the Data.vtt
6.0 kB
5. Using Deep Learning for NLP/09. Text Pre-processing.vtt
6.0 kB
6. Going from Prototype to Production/3. Scoring Script for Local Test.vtt
5.9 kB
3. Setting up a Development Environment/2. Set up a Dev Environment for fastai 1.0.vtt
5.8 kB
6. Going from Prototype to Production/1. Introduction and Dev Environment Setup.vtt
5.4 kB
2. Exploring the fastai Library/3. What Else Can You Do with the fastai Library.vtt
5.2 kB
3. Setting up a Development Environment/1. Requirements and Install Options.vtt
5.2 kB
5. Using Deep Learning for NLP/05. Hyper-parameters Scheduling.vtt
5.0 kB
3. Setting up a Development Environment/3. Other Dev Environment Options.vtt
4.9 kB
7. Building a Custom Language Model from Scratch/3. Text Pre-processing.vtt
4.7 kB
8. Recapping and Next Steps/1. Course Recap.vtt
4.5 kB
5. Using Deep Learning for NLP/11. Summary.vtt
4.2 kB
2. Exploring the fastai Library/4. Whats a Great Way to Learn MLDL.vtt
4.2 kB
5. Using Deep Learning for NLP/07. Dropout.vtt
4.1 kB
7. Building a Custom Language Model from Scratch/4. Pre-train the Language Model.vtt
4.0 kB
6. Going from Prototype to Production/7. Deploy the Production Image.vtt
4.0 kB
5. Using Deep Learning for NLP/08. Embedding Layer.vtt
3.9 kB
5. Using Deep Learning for NLP/06. AWD-LSTM Language Model.vtt
3.8 kB
5. Using Deep Learning for NLP/04. Discriminitive Fine-tuning.vtt
3.6 kB
6. Going from Prototype to Production/6. Create the Production Image.vtt
3.5 kB
6. Going from Prototype to Production/2. Preparing a Model for Production.vtt
3.5 kB
5. Using Deep Learning for NLP/02. Transfer Learning and Fine-tuning.vtt
3.4 kB
playlist.m3u
3.2 kB
5. Using Deep Learning for NLP/01. Introduction.vtt
3.0 kB
7. Building a Custom Language Model from Scratch/5. Verify the Quality of the Language Model.vtt
2.6 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
1.9 kB
7. Building a Custom Language Model from Scratch/7. Summary.vtt
1.7 kB
~i.txt
1.6 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
==查看完整文档列表==
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种子标签
NLP
Getting
Started
fastai
Deep
Rosa
PyTorch
2019
Learning
Gianni
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