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Training Neural Networks
G. Hinton’s Forward-Forward algorithm makes training Neural Networks Biologically plausible
Can a Model Choose the Training Set?
“Garbage In, Garbage Out” no matter how fancy and complicate your state-of-the art algorithm is
Visualization horrors in
the age of COVID-19
Data Visualization is the most underrated aspect of Data Science
Is Deep Learning facing a reproducibility crisis?
Some papers observed that the progress seen with the advent of Deep Learning in some research fields may not be as strong as we thought
Weights & Biases: An introductory guide
If we don’t put enough effort into creating a stable system around our models we soon lose control of the project