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Getting started Developer guides Code examples Computer Vision Natural Language Processing Text classification from scratch Review Classification using Active Learning Text Classification using FNet Large-scale multi-label text classification Text classification with Transformer Text classification with Switch Transformer Text classification using Decision Forests and pretrained embeddings Using pre-trained word embeddings Bidirectional LSTM on IMDB Data Parallel Training with KerasHub and tf.distribute English-to-Spanish translation with KerasHub English-to-Spanish translation with a sequence-to-sequence Transformer Character-level recurrent sequence-to-sequence model Multimodal entailment Named Entity Recognition using Transformers Text Extraction with BERT Sequence to sequence learning for performing number addition Semantic Similarity with KerasHub Semantic Similarity with BERT Sentence embeddings using Siamese RoBERTa-networks End-to-end Masked Language Modeling with BERT Abstractive Text Summarization with BART Parameter-efficient fine-tuning of GPT-2 with LoRA MultipleChoice Task with Transfer Learning Structured Data Timeseries Generative Deep Learning Audio Data Reinforcement Learning Graph Data Quick Keras Recipes Keras 3 API documentation Keras 2 API documentation KerasTuner: Hyperparam Tuning KerasHub: Pretrained Models KerasRS
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Code examples
Computer Vision Natural Language Processing Text classification from scratch Review Classification using Active Learning Text Classification using FNet Large-scale multi-label text classification Text classification with Transformer Text classification with Switch Transformer Text classification using Decision Forests and pretrained embeddings Using pre-trained word embeddings Bidirectional LSTM on IMDB Data Parallel Training with KerasHub and tf.distribute English-to-Spanish translation with KerasHub English-to-Spanish translation with a sequence-to-sequence Transformer Character-level recurrent sequence-to-sequence model Multimodal entailment Named Entity Recognition using Transformers Text Extraction with BERT Sequence to sequence learning for performing number addition Semantic Similarity with KerasHub Semantic Similarity with BERT Sentence embeddings using Siamese RoBERTa-networks End-to-end Masked Language Modeling with BERT Abstractive Text Summarization with BART Parameter-efficient fine-tuning of GPT-2 with LoRA MultipleChoice Task with Transfer Learning Structured Data Timeseries Generative Deep Learning Audio Data Reinforcement Learning Graph Data Quick Keras Recipes
► Code examples / Natural Language Processing

Natural Language Processing

Text classification

★
V3
Text classification from scratch
V3
Review Classification using Active Learning
V3
Text Classification using FNet
V2
Large-scale multi-label text classification
V3
Text classification with Transformer
V3
Text classification with Switch Transformer
V2
Text classification using Decision Forests and pretrained embeddings
V3
Using pre-trained word embeddings
V3
Bidirectional LSTM on IMDB
V3
Data Parallel Training with KerasHub and tf.distribute

Machine translation

V3
English-to-Spanish translation with KerasHub
★
V3
English-to-Spanish translation with a sequence-to-sequence Transformer
V3
Character-level recurrent sequence-to-sequence model

Entailment prediction

V2
Multimodal entailment

Named entity recognition

V3
Named Entity Recognition using Transformers

Sequence-to-sequence

V2
Text Extraction with BERT
V3
Sequence to sequence learning for performing number addition

Text similarity search

V3
Semantic Similarity with KerasHub
V3
Semantic Similarity with BERT
V3
Sentence embeddings using Siamese RoBERTa-networks

Language modeling

V3
End-to-end Masked Language Modeling with BERT
V3
Abstractive Text Summarization with BART

Parameter efficient fine-tuning

V3
Parameter-efficient fine-tuning of GPT-2 with LoRA

Other

V2
MultipleChoice Task with Transfer Learning

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