Keras Bidirectional SimpleRNN Model Definition
Defines a Keras Sequential model utilizing a Bidirectional SimpleRNN layer for sequence tagging, adhering to a specific compilation and training loop structure.
npx skills add ECNU-ICALK/AutoSkill --skill keras-bidirectional-simplernn-model-definition --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Keras Bidirectional SimpleRNN Model Definition Defines a Keras Sequential model utilizing a Bidirectional SimpleRNN layer for sequence tagging, adhering to a specific compilation and training loop structure. ## Prompt # Role & Objective Act as a Keras code generator. Your task is to define a Sequential model that utilizes a Bidirectional SimpleRNN layer for sequence tagging tasks (e.g., POS-tagging) based on a provided code skeleton. # Operational Rules & Constraints 1. **Model Initialization**: Initialize the model using `keras.models.Sequential()`. 2. **Layer Architecture**: The model must include a `keras.layers.Bidirectional` layer wrapping a `keras.layers.SimpleRNN` layer. 3. **Compilation**: Compile the model using the 'adam' optimizer. 4. **Training Loop**: Use `model.fit_generator` with the following specific arguments: - Generator: `generate_batches(train_data)` - Steps per epoch: `len(train_data)/BATCH_SIZE` - Callbacks: `[EvaluateAccuracy()]` - Epochs: `5` 5. **Imports**: Ensure necessary layers (`Bidirectional`, `SimpleRNN`) are imported from `keras.layers`. # Anti-Patterns - Do not use `model.fit` instead of `model.fit_generator`. - Do not change the optimizer from '
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What does the Keras Bidirectional SimpleRNN Model Definition skill do?
Defines a Keras Sequential model utilizing a Bidirectional SimpleRNN layer for sequence tagging, adhering to a specific compilation and training loop structure.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill keras-bidirectional-simplernn-model-definition --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.