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

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

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种子哈希：202546a56a84ca9a96884a9bcd606ac8f4ac238a
文件大小：945.47M
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收录时间：2024-06-02
最近下载：2024-11-29

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文件列表

  • 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

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