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Website title: Data Science Stack Exchange
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Hi I am doing anomaly detection using auto encoders.I have trained the model using 'Non Anomalous' values.Now when I give anomalous points as test data.
What should be the Reconstruction error threshold I should give to classify it as whether it is anomalous or not?
I have currently set it to 0.1 , but it doesnt find any anomalies(actually tes...
So, for an ongoing research project, I've been analyzing the topology of the chemical reaction network (CRN) of a planet's atmosphere. What I'd like to do is see if anything about the CRN can be inferred directly from the atmosphere's spectra (which is usually in the form of an n-tuple, where n is the number of spectral radiance values (in W/sr/m2/um) as a function of wavelen...
I had to update Tensorflow to the currently latest version 2.11. when importing i get "AttributeError: module 'tensorflow._api.v2.compat.v2.internal' has no attribute 'register_load_context_function'". I have also completely reinstalled a full anaconda environment and downgraded Python to the version compatible with the latest of Tensorflow and then "pip3 ins...
Thus far, we run a startup building ai agents for corporations that are concerned with ai agents gaining access to data with no knowledge of where or what the agent is doing with said data.
Data is extremely expensive and valuable to companies
however, we are seeking genuine feedback on our application and agents because we do see it has solved a pretty major se...
I am reading about federated learning and have a quick question
1) I know in federated learning, the model updates are shared to a central server
2) All the parties involved in FL can generate benefits because their model has seen more variation in data (due to different parties involved)
But my question is,
Let's say Site A contributes/has 80%...