Advanced NLP: Language Translation Using Transformer Model
Natural Language Processing
| Intermediate
- 13 videos | 1h 29m 12s
- Includes Assessment
- Earns a Badge
Translating from one language to another is a common task in Natural Language Processing (NLP). The transformer model works by passing multiple words through a neural network simultaneously and is one of the newest models propelling a surge of progression, sometimes referred to as transformer AI. In this course, you will solve real-world machine translation problems, translating from English to French. Explore machine translation problem formulation, notebook setup, and data pre-processing. Then, learn to tokenize and vectorize data into a sequence of integers, where each integer represents the index of a word in a vocabulary. Discover transformer encoder-decoder and see how to produce input and output sequences. Finally, define the attention layer and assemble, train, and evaluate the translation model end to end. Upon completing this course, you will be able to solve industry-level problems using deep learning methodology in the TensorFlow ecosystem.
WHAT YOU WILL LEARN
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Discover the key concepts covered in this course
Outline machine translation applications
Demonstrating english to french machine translation - frame a problem and use single sentence translation
Demonstrating english to french machine translation - set up the environment and download the translation data
Demonstrating english to french machine translation - perform exploratory data analysis (eda) and data pre-processing
Demonstrating english to french machine translation - use tokens and vectors in integer sequences
Demonstrating english to french machine translation - define training and validation datasets with input, target of specified batch size, and sequence length -
Demonstrating english to french machine translation - produce a new representation of input sequence using transformer encoder
Demonstrating english to french machine translation - produce an output target sequence using transformer decoder
Demonstrating english to french machine translation - define attention and positional embedding for input sequence
Demonstrating english to french machine translation - assemble and train model end to end
Demonstrating english to french machine translation - translate a test sentence using a trained model
Summarize the key concepts covered in this course
IN THIS COURSE
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1m 22s
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8m 10s
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3. Using Single Sentence English to French Translation2m 17s
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4. Setting up the Environment for Translation5m 36s
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5. Performing EDA for Translation3m 39s
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6. Using Tokens and Vectors for Translation4m 48s
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7. Using Training and Validation Data for Translation14m 56s
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8. Using Transformer Encoder for Translation9m 15s
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9. Using Transformer Decoder for Translation11m 35s
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10. Defining Attention and Embedding for Translation5m 20s
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11. Assembling and Training the Model for Translation10m 6s
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12. Using a Trained Model for Translation11m 19s
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13. Course Summary48s
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