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Normalized Ratios - Python and Machine Learning for Integrated Circuits - - An Online Book - |
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| Python and Machine Learning for Integrated Circuits http://www.globalsino.com/ICs/ | ||||||||
| Chapter/Index: Introduction | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | Appendix | ||||||||
================================================================================= Figure 3853 shows the original and normalized ratios of exp(θiT x). The the original ratios for each value, θi, can be calculated by, The the maximum ratio among all the original ratios can be given by, Then, the normalized ratio can be given by each original ratio by dividing it by the maximum ratio,
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(b) Figure 3853. (a) Original and (b) normalized ratios of exp(θiT x) (Python code). ============================================
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