Keras 2.3 Documentation

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LSTM for text generation

来源 1 浏览 474 扫码打印 2020-02-05 11:37:16

Example script to generate text from Nietzsche's writings.

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Scikit-learn API
Contributing
Applications
Callbacks
Losses
Regularizers
Utils
Optimizers
Introduction
Activations
Backend
Why use Keras
Metrics
Datasets
Visualization
Initializers
Examples
- Convolutional LSTM
- Addition RNN
- Bidirectional LSTM
- LSTM for text generation
- Baby RNN
- Custom layer - antirectifier
- Sequence to sequence - training
- Fasttext for text classification
- Auxiliary Classifier GAN
- CIFAR-10 CNN
- Stateful LSTM
- Convolution filter visualization
- CIFAR-10 ResNet
- Sentiment classification LSTM
- Image OCR
- Sequence to sequence - prediction
- 1D CNN for text classification
- Deep Dream
- Baby MemNN
- Sentiment classification CNN-LSTM
Constraints
Getting started
- FAQ
- Guide to the Functional API
- Guide to the Sequential model
Layers
- Writing your own Keras layers
- Advanced Activations Layers
- Layer wrappers
- Locally-connected Layers
- Normalization Layers
- Recurrent Layers
- Merge Layers
- Convolutional Layers
- About Keras layers
- Embedding Layers
- Pooling Layers
- Core Layers
- Noise layers
Models
- Model (functional API)
- Sequential
- About Keras models
Preprocessing
- Image Preprocessing
- Text Preprocessing
- Sequence Preprocessing

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