✓ such that the resulting prediction is as accurate as possible. Such a procedure is so-called training. The training procedure is performed based on a given set of m training data {x(i), y(i)}i=1,···

NAS model could generate variable depth child networks. Figure 7-4 shows a sketch of their search procedure. It involves a controller which samples the search space to generate candidate architectures. The Keras Tuner, Ray Tune, Talos and Optuna have made it straightforward to configure the training procedure to try out different configurations for the hyperparameters and choose a configuration that works

doi:10.48550/arXiv.1812.01187. 14 Wightman, Ross, et al. "ResNet strikes back: An improved training procedure in timm." arXiv, 1 Oct. 2021, doi:10.48550/arXiv.2110.00476. increase to a large positive value contributions are controlled by the hyper-parameter . Figure 6-15 illustrates the subclass distillation procedure, and how it compares with vanilla distillation. Figure 6-15: Comparison between vanilla distillation

., K} is the label for the sample x(i) Output: A list of classifier fk for k ∈ {1, · · · , K} Procedure: For ∀k ∈ {1, · · · .K}, construct a new label z(i) for x(i) such that z(i) = 1 if y (i) = k and

Network Loss Function Optimization Algorithm Training Validation Testing Step 5. Entire Procedure Load Data Neural Network Training Setup dataset = MyDataset(file) tr_set = DataLoader(dataset

have completed basic requirements for the installtion of Kera. Now, install the Keras using same procedure as specified below: pip install keras Keras 7 Quit virtual environment

installed to prepare to run NGC containers on TITAN PCs, Quadro PCs, or NVIDIA Virtual GPUs (vGPUs). Procedure 1. Issue the command for the applicable release of the container that you want. The following