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This article has a list of frequently asked interview questions that might help you become more familiar with the TensorFlow framework.
FACEIO employs front cameras or standard webcams for authentication. For facial recognition, it doesn’t need any other sensors.
This blog discusses method and implementation of Hyperparameter tuning techniques as Grid Search, Randomized Search & Bayesian Optimization.
BigBird is a sparse-attention-based transformer that extends transformer-based models like BERT to 8 times longer sequences
Outliers are values that seem excessively different from most of the rest of the values in the given dataset.
GPT-1 uses a 12-layer decoder-only transformer framework with masked self-attention for training the language model.
Missing data can be filled using basic python programming, pandas library, and a sci-kit learn library named SimpleImputer.
In this article, you will do some analysis of the chain and independent restaurants in the United States using python.
Model Calibration gives insight of uncertainty in the prediction of the model and in turn, the reliability of the model.
Centroid tracker algorithms are all about tracking the coordinates by defining some threshold values to be called as same points.
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