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Development Deploy MP Wiki


The accuracy is the overall percentage of predictions without errors. It's derived from the confusion matrix . Accuracy used for multi-label …

Deploy Development MP Wiki


Adadelta was proposed with the aim to solve the diminishing learning rate problem that was seen in the Adagrad. Adagrad uses the knowledge of all the …

Development Deploy MP Wiki


Adagrad , short for adaptive gradient, is a gradient based optimizer that automatically tunes its learning rate in the training process. The learning …

Development Deploy MP Wiki


Adam solvers are the hassle free standard for optimizers. Empirically, Adam solvers converge faster and are more robust towards hyper-parameter …

Development Deploy MP Wiki


Adam can be understood as updating weights inversely proportional to the scaled L2 norm (squared) of past gradients. AdaMax extends this to the …

Development Deploy MP Wiki


AdamW is very similar to Adam . It only differs in the way how the weight decay is implemented. The way how it's implemented in Adam came from the …

Development Deploy MP Wiki

AMSgrad Variant (Adam)

While the Adam optimizer, which made use of momentum as well as the RMS prop, was efficient in adjusting the learning rates and finding the optimal …

Development Deploy MP Wiki


Average Stochastic Gradient Descent, abbreviated as ASGD, averages the weights that are calculated in every iteration. $$ w_{t+1}=w_t-\eta \nabla …

Development User documentation

Attribute Prediction

Attribute Prediction dashboard Widgets GPU Consumption Running time Inference time Hamming Score VS Number of Iterations Loss VS Number of Iterations …

Deploy User documentation

Attribute Prediction

Sample inference script for torchscript exported image-tagger. The following sample code should be run from the export directory: import torch import …

Deploy Development MP Wiki


Attributors are used in combination with other models such as object detectors , semantic and instance segmentors . They add a layer of meta-data to …

Development Deploy MP Wiki

Average Loss

Average loss is the average of various losses that is arise in a model. Average loss varies from model to model since different types of loss arise …

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