# Keras

Pass `im.InstantMLKerasCallback` to `model.fit(...)` and it logs your epoch metrics to InstantML. It is a native Keras callback — no wrapper around your model or training loop.

## Install

```bash
python -m pip install "instantml[frameworks]"
```

Authenticate with [`instantml login`](/docs/sdk/installation-auth.md) or `INSTANTML_API_KEY` if you haven't already.

## Add the callback to model.fit

This complete example trains a small dense network on synthetic data:

```python
import instantml as im
import keras
import numpy as np

x_train = np.random.rand(512, 16).astype("float32")
y_train = (x_train.sum(axis=1) > 8).astype("float32")

model = keras.Sequential([
    keras.Input(shape=(16,)),
    keras.layers.Dense(32, activation="relu"),
    keras.layers.Dense(1, activation="sigmoid"),
])
model.compile(optimizer="adam", loss="binary_crossentropy", metrics=["accuracy"])

callback = im.InstantMLKerasCallback(
    project="keras-demo",
    name="dense-baseline",
    config={"optimizer": "adam", "layers": 2},
)

model.fit(
    x_train,
    y_train,
    epochs=10,
    validation_split=0.2,
    callbacks=[callback],
)
```

Open the project at [instantml.ai](https://instantml.ai) to see `loss`, `accuracy`, and their `val_` counterparts charted per epoch.

The callback creates the run on `on_train_begin`, logs scalar metrics from each `on_epoch_end` (with `step=epoch`), and finishes the run on `on_train_end`. Extra keyword arguments are forwarded to `im.init(...)`; when no `project` is given it defaults to `"keras"`.

## Log per-batch metrics

By default the callback logs once per epoch. Enable per-batch logging with `log_batch=True`; batch metrics are namespaced under `batch/`:

```python
callback = im.InstantMLKerasCallback(project="keras-demo", log_batch=True)
```

## Reuse an existing run

Pass an already-created run when you want the callback to share a run with other code instead of creating its own:

```python
run = im.init(project="keras-demo", name="dense-baseline")
callback = im.InstantMLKerasCallback(run=run)
```

## Next steps

- [Understand metrics and steps](/docs/sdk/metrics-steps.md)
- [Record config, tags, and notes](/docs/sdk/config-tags-notes.md)
- [Log images, audio, and video](/docs/sdk/rich-objects.md)
- [Compare runs in the dashboard](/docs/dashboard/compare-runs.md)

## Agent navigation

- [Docs index](/llms.txt)
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### Get Started

- [Overview](/docs/index.md)
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- [Pytorch Lightning](/docs/integrations/pytorch-lightning.md)
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### Data

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### API

**Practical API guides**

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**Architecture**

- [System Overview](/docs/architecture/system-overview.md)
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### API Reference

- [API Reference](/docs/api-reference.md)