machine learning - How to determine the number of layers and …
2016年2月20日 · In your case, however, one can definitely say that the network is much too complex (even if you applied strong regularization). Why so many hidden layers? Start with …
How to interpret loss and accuracy for a machine learning model
Then your learning algorithm (e.g. gradient descent) will find a way to update b1 and b2 to decrease the loss. What if b1=0.1 and b2=-0.03 is the final b1 and b2 (output from gradient …
machine learning - How are Structured and Unstructured data ...
2011年3月18日 · There's a related notion of "structured learning" which refers to learning with a "structured output space" This is when the label you are trying to predict can be broken into …
machine learning - Is there a rule-of-thumb for how to divide a …
I’m voting to close this question because Machine learning (ML) theory questions are off-topic on Stack Overflow - gift-wrap candidate for Cross-Validated – Daniel F Commented Feb 10, 2021 …
What is FLOPS in field of deep learning? - Stack Overflow
2019年10月22日 · Confusingly both FLOPs, floating point operations, and FLOPS, floating point operations per second, are used in reference to machine learning. FLOPs are often used to …
python - Can anyone explain me StandardScaler? - Stack Overflow
2016年11月23日 · The main idea is to normalize/standardize i.e. μ = 0 and σ = 1 your features/variables/columns of X, individually, before applying any machine learning model. …
How big should batch size and number of epochs be when fitting …
2022年4月14日 · The batch size should pretty much be as large as possible without exceeding memory. The only other reason to limit batch size is that if you concurrently fetch the next …
What are the metrics to evaluate a machine learning algorithm
Machine learning, a branch of artificial intelligence, concerns the construction and study of systems that can learn from data. In this context learning can be defined parameterization of …
What is the difference between SVC and SVM in scikit-learn?
2015年1月13日 · By the other hand I also read about that scikit learn also uses libsvm for support vector machine algorithm. I'm a bit confused about what's the difference between SVC and …
Machine Learning, AI, and Soft Computing - Stack Overflow
2011年12月9日 · Machine learning has a close overlap with statistical physics and certain signal processing topics, and certain formulations strongly overlap planning, control theory, and …