[R] How To Train a Neural Network with Less GPU Memory: Reversible Residual Networks Review

Discover the interesting approach of reversible residual networks. OpenCV.ai team's new [article](https://www.opencv.ai/blog/train-neural-network-reversible-residual-networks) reviews a method that cuts down on GPU memory requirements during neural network training.
You will find how reversible residual networks save GPU memory during neural network training. This technique, detailed in "The Reversible Residual Network: Backpropagation Without Storing Activations," allows for efficient training of larger models by not storing activations for backpropagation. Discover its application in reducing hardware requirements while maintaining accuracy in tasks like CIFAR and …

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