keras cudnngru

Keras is a high-level deep learning framework that provides an interface to various backend deep learning libraries, including TensorFlow and Theano. It simplifies the process of building and training neural networks.

CuDNNGRU (CuDNN Gated Recurrent Unit) is a specific type of recurrent neural network (RNN) cell that is optimized for GPU acceleration using NVIDIA's cuDNN library. It is a variant of the GRU cell, which is a type of RNN cell commonly used for sequence modeling tasks.

To use the CuDNNGRU cell in Keras, you need to have a compatible GPU and the necessary software dependencies installed. Once you have them set up, you can import the CuDNNGRU layer from Keras and use it in your model architecture.

Here's an example of how you can use the CuDNNGRU layer in Keras:

from tensorflow.keras.layers import CuDNNGRU