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7 results for “binary”

Formulae (7)

L = -\frac{1}{n}\sum[y\log(\hat{y}) + (1-y)\log(1-\hat{y})]

Loss function for binary classification.

N_t = N_0 \times 2^n

Cell count after n binary fissions.

\text{MB} = \text{GB} \times 1024

Convert gigabytes to megabytes (binary).

N = \sum_{i=0}^{k} b_i 2^i

Converts a binary number to decimal.

N = 2^{h+1} - 1

Total nodes in a perfect binary tree of height h.

N = \text{repeated division by } 2

Convert a decimal number to binary by dividing by 2 and reading remainders.

-N = \lnot N + 1

Represents negative integers in binary by inverting bits and adding one.