Deep learning regularization techniques to genomics data
نویسندگان
چکیده
منابع مشابه
Deep learning - Regularization
where, θ̃ is an estimator of θ coming from update equations or solution of optimization procedure. Variability in θ̃ is because of randomness in data and bias is due to model mismatch. Well known bias-variance trade offAs complexity of the model is increased model mismatch(bias) is decreased while variance in the prediction is increased because of randomness in training inputs. 4. Deep Learning s...
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ژورنال
عنوان ژورنال: Array
سال: 2021
ISSN: 2590-0056
DOI: 10.1016/j.array.2021.100068