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Deploy User documentation

Deploy

Deploy dashboard The Deploy option in the Deploy & export page allows you to choose a model from the available experiments to choose as the …

Development Deploy MP Wiki

Efficient Net

Efficient nets are the family of neural networks with the baseline model constructed with Neural Architecture Search . Neural Architecture Search is …

Deploy Development MP Wiki

Epoch

The number of epochs is a hyperparameter that defines the number of times that the learning algorithm will work through the entire training dataset. …

Development Deploy MP Wiki

Epsilon Cooefficient

We shall make use of Adam optimization to briefly explain the epsilon coefficient. For the Adam optimizer, we know that the first and second moments …

Development Deploy MP Wiki

ExponentialLR

This scheduling technique reduces the learning rate every epoch (or every eval period in case of iteration trainer) by a factor "gamma". At the last …

Deploy Development MP Wiki

Faster R-CNN

Faster R-CNN is an architecture for object detection achieving great results on most benchmark data sets. It builds directly on the work on the R-CNN …

Development Deploy MP Wiki

FBNetV3

FBNetV3 makes up a family of state-of-art compact neural networks that is generated through Network Architecture Recipe Search, NARS. NARS is an …

Development Deploy MP Wiki

Focal loss

We have already discussed Cross-Entropy Loss and Binary Cross-Entropy Loss for the classification problem. Focal loss is an extension of these losses …

Development Deploy MP Wiki

FPN

This semantic segmentation model also makes use of the encoder-decoder modules. A regular convolutional neural network with a fully connected layer …

Deploy Development MP Wiki

Gaussian Noise

This data augmentation tool adds gaussian noise to the training images such the testing becomes robust against these noises. Gaussian noise is a …

Development MP Wiki

General best practices

This wiki dives deep into the world of visionAI and it's easy to get lost in the woods. This is why we want to share two lessons we learned working …

Development MP Wiki

General Information

While employing machine learning algorithm, there is a need to split the data such that the model is trained and on the basis of that model, we …

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