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Optimizers Deep learning models are comprised of a model architecture and the model parameters. The model architectur...

Legacy This document hosts documents for legacy modules that are being deprecated in MXNet 2.x. NDArray API ndarray/i...

Production-Grade Container Orchestration

kubeadm kubeconfig provides utilities for managing kubeconfig files. For examples on how to use kubeadm kubeconfig user see Generating kubeconfig files for additional users. kubeadm kubeconfig overview Kubeconfig file utilities Synopsis Kubeconfig file utilities. Options -h, --help help for kubeconfig Options inherited from parent commands --rootfs string The path to the 'real' host root filesystem. This will cause kubeadm to chroot into the provided path. kubeadm kubeconfig user This command can be used to output a kubeconfig file for an additional user.

FastAPI framework, high performance, easy to learn, fast to code, ready for production

Initialization In the Neural Networks section we played fast and loose with setting up our networks. In particular we...

Layers and Blocks As network complexity increases, we move from designing single to entire layers of neurons. Neural ...

Step 5: Dataset s and DataLoader One of the most critical steps for model training and inference is loading the data:...

Gluon2.0: Migration Guide Overview Since the introduction of the Gluon API in MXNet 1.x, it has superseded commonly u...