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adc frequency vs accuracy

By : S.Gillespie
Date : September 14 2020, 02:00 AM
I wish this helpful for you
Shouldn't accuracy increase when I'm sampling faster since I'm taking more samples from the signal?
code :

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Improving Accuracy for a Substitution Cipher using Frequency Analysis

By : TrofMan
Date : March 29 2020, 07:55 AM
fixed the issue. Will look into that further What you're basically discovering is that a "partially good" solution already returns those words correctly when just the letters used in the word are correctly substituted. It doesn't matter to much if you have the Q and X mixed up, which is a real risk since they're both rare.
So, as a measure of proximity, you can use how many of the words in the attempted decryption occur in a dictionary. You'll find that the words that do occur have a much higher occurrence of some letters, and those letters are probably correct. Just trying all 12 orders of "EATO" will get you lots of words.

Accuracy of rdtsc for benchmarking and time stamp counter frequency

By : Robert Lee Bell
Date : March 29 2020, 07:55 AM
hop of those help? As part of a benchmarking task, I was investigating the different mechanisms that can be used to measure elapsed time. I've finalised on using clock_gettime, but I did do sufficient research and testing with the RDTSC instruction as well. I have several question regarding the same (based on what I read on several online threads): , Invariant TSC means, according to Intel,

How to ignore some words when counting the frequency of a word accuracy in a text?

By : yoyoi
Date : March 29 2020, 07:55 AM
it fixes the issue How can I ignore some words like 'a', 'the', when counting the frequency of a word accuracy in a text? , It would be best to avoid counting the entries to begin with like so.
code :
ignore = {'the','a','if','in','it','of','or'}
result = collections.Counter(x for x in f if x not in ignore).most_common(1)

Why does binary accuracy give high accuracy while categorical accuracy give low accuracy, in a multi-class classificatio

By : seniorwebmaster
Date : March 29 2020, 07:55 AM
Does that help So you need to understand what happens when you apply a binary_crossentropy to a multiclass prediction.
Let's assume that your output from softmax is (0.1, 0.2, 0.3, 0.4) and one-hot encoded ground truth is (1, 0, 0, 0). binary_crossentropy masks all outputs which are higher than 0.5 so out of your network is turned to (0, 0, 0, 0) vector. (0, 0, 0, 0) matches ground truth (1, 0, 0, 0) on 3 out of 4 indexes - this makes resulting accuracy to be at the level of 75% for a completely wrong answer!

Linux CPU frequency scaling affects timerfd accuracy

By : Dejan Filipovic
Date : March 29 2020, 07:55 AM
wish help you to fix your issue Preliminary answer. Let's assume you don't want to disable cpufreq or do any other invasive kernel configuration change that would result in changes in the power consumption.
Let me assume that the jitter is not coming from some weird interaction between the cpu clock and the timer clock, which would be quite hard to eliminate.
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