# keras

**Repository Path**: rainoffallingstar/keras

## Basic Information

- **Project Name**: keras
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2023-10-22
- **Last Updated**: 2023-10-22

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# R interface to Keras

![](https://s3.amazonaws.com/keras.io/img/keras-logo-2018-large-1200.png)

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[Keras](https://keras.io/) is a high-level neural networks API developed with a focus on enabling fast experimentation. *Being able to go from idea to result with the least possible delay is key to doing good research.* Keras has the following key features:

- Allows the same code to run on CPU or on GPU, seamlessly.

- User-friendly API which makes it easy to quickly prototype deep learning models.

- Built-in support for convolutional networks (for computer vision), recurrent networks (for sequence processing), and any combination of both.

- Supports arbitrary network architectures: multi-input or multi-output models, layer sharing, model sharing, etc. This means that Keras is appropriate for building essentially any deep learning model, from a memory network to a neural Turing machine.

See the package website at <https://tensorflow.rstudio.com> for complete documentation.