NASNet je najbolji model? https://towardsdatascience.com/how-to-choose-the-best-keras-pre-trained-model-for-image-classification-b850ca4428d4
Author: Piroska Stanić Molcer
Liveness Dataset
SiW Database now is open to industrial institutes for research purposes
Optimal Split for Categorical Features
It is common to represent categorical features with one-hot encoding, but this approach is suboptimal for tree learners. Particularly for high-cardinality categorical features, a tree built on one-hot features tends to be unbalanced and needs to grow very deep to achieve good accuracy. Instead of one-hot encoding, the optimal solution is to split on a… Continue reading Optimal Split for Categorical Features
Stratification
If we go ahead and train our model on the sample data which has the wrong proportions it is likely that the model will be over-fitted to the training data and it is also likely that when we run the model against real-world or testing data that is in the right proportions it will underperform.… Continue reading Stratification
What is Vaex?
Vaex is a python library for lazy Out-of-Core DataFrames (similar to Pandas), to visualize and explore big tabular datasets. It can calculate statistics such as mean, sum, count, standard deviation etc, on an N-dimensional grid up to a billion (109) objects/rows per second. Visualization is done using histograms, density plots and 3d volume rendering, allowing interactive exploration of big data. Vaex uses memory mapping, a zero memory copy… Continue reading What is Vaex?