GitHub - sayakpaul/tf.keras-Distributed-Training: Shows how to use MirroredStrategy to distribute training workloads when using the regular fit and compile paradigm in tf.keras.
![Multi-GPU training. Example using two GPUs, but scalable to all GPUs... | Download Scientific Diagram Multi-GPU training. Example using two GPUs, but scalable to all GPUs... | Download Scientific Diagram](https://www.researchgate.net/profile/Andres-Milioto/publication/323410760/figure/fig1/AS:598487393636352@1519701922416/Multi-GPU-training-Example-using-two-GPUs-but-scalable-to-all-GPUs-available-in.png)
Multi-GPU training. Example using two GPUs, but scalable to all GPUs... | Download Scientific Diagram
![Towards Efficient Multi-GPU Training in Keras with TensorFlow | by Bohumír Zámečník | Rossum | Medium Towards Efficient Multi-GPU Training in Keras with TensorFlow | by Bohumír Zámečník | Rossum | Medium](https://miro.medium.com/max/1400/0*dN-sB6fINsL7ZfRW.png)