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Natural Language Processing with Probabilistic Models
30h35m
Week 4: Word embeddings with neural networks
- Week IntroductionVideoใป1m
- OverviewVideoใป2m
- OverviewReadingใป10m
- Basic Word RepresentationsVideoใป3m
- Basic Word RepresentationsReadingใป5m
- Word EmbeddingsVideoใป3m
- Word EmbeddingsReadingใป4m
- How to Create Word EmbeddingsVideoใป3m
- How to Create Word Embeddings?Readingใป4m
- Word Embedding MethodsVideoใป3m
- Word Embedding MethodsReadingใป4m
- Continuous Bag-of-Words ModelVideoใป4m
- Continuous Bag of Words ModelReadingใป3m
- Cleaning and TokenizationVideoใป4m
- Cleaning and TokenizationReadingใป5m
- Sliding Window of Words in PythonVideoใป3m
- Sliding Window of words in PythonReadingใป10m
- Transforming Words into VectorsVideoใป3m
- Transforming Words into VectorsReadingใป2m
- Lecture Notebook - Data PreparationCode Exampleใป30m
- Architecture of the CBOW ModelVideoใป3m
- Architecture for the CBOW ModelReadingใป4m
- Architecture of the CBOW Model: DimensionsVideoใป3m
- Architecture of the CBOW Model: DimensionsReadingใป4m
- Architecture of the CBOW Model: Dimensions 2Videoใป2m
- Architecture of the CBOW Model: DimensionsReadingใป3m
- Architecture of the CBOW Model: Activation FunctionsVideoใป4m
- Architecture of the CBOW Model: Activation FunctionsReadingใป5m
- Lecture Notebook - Intro to CBOW modelCode Exampleใป30m
- Training a CBOW Model: Cost FunctionVideoใป4m
- Training a CBOW Model: Cost FunctionReadingใป3m
- Training a CBOW Model: Forward PropagationVideoใป3m
- Training a CBOW Model: Forward PropagationReadingใป3m
- Training a CBOW Model: Backpropagation and Gradient DescentVideoใป4m
- Training a CBOW Model: Backpropagation and Gradient DescentReadingใป4m
- Lecture Notebook - Training the CBOW modelCode Exampleใป40m
- Extracting Word Embedding VectorsVideoใป3m
- Extracting Word Embedding VectorsReadingใป5m
- Lecture Notebook - Word EmbeddingsCode Exampleใป20m
- Evaluating Word Embeddings: Intrinsic EvaluationVideoใป3m
- Evaluating Word Embeddings: Intrinsic EvaluationReadingใป4m
- Evaluating Word Embeddings: Extrinsic EvaluationVideoใป2m
- Evaluating Word Embeddings: Extrinsic EvaluationReadingใป3m
- Lecture notebook: Word embeddings step by stepCode Exampleใป1h
- ConclusionVideoใป1m
- ConclusionReadingใป2m
- Week ConclusionVideoใป1m
Lecture: Word Embeddings
Lecture Notes (Optional)
Practice Quiz
End of access to Lab Notebooks
Assignment: Word Embeddings
Acknowledgments
Certificate