Tinyflow - A Simple Neural Network Framework
In recent years, thanks to the rapid growth of computing power, deep learning has blossomed. The increase in computing power is largely due to the GPUs.
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Automatic Differentiation Based on Computation Graph
Automatic differentiation (AD), also called algorithmic differentiation or simply "autodiff" is one of the basic algorithms hidden behind the deep learning framework such as tensorflow, pytorch, mxnet…
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Softmax regression (SR) (or multinomial logistic regression) is a generalization of logistic regression to the case where we want to handle multiple classes.
阅读全文Logistic Regression (LR)
Logistic regression (LR) is a binary classification algorithm for predicting discrete values (In general, the predicted result is 0 or 1).
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