Hi Joao Theres the article in the 100th. Edition of BPM of CAI: http://xv9li.mjt.lu/nl2/xv9li/sh08.html?m=AUsAAED2zaoAAAAOHLYAAARCM1IAAAAAbUYAAN_4ABNaLgBhiOAa2YEQ7HvnSZeVXlPfMoEYzQATSVs&b=75405464&e=f6f8de75&x=H1TrR12BUVYkwY-A0LB_Hw Greetings, Max

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On 2021-11-06 12:31, joaopauloschuler wrote: Hello @maxkleiner [1], your experiment is interesting and I'm glad that you did it. If you assume that: 0.1 = False. 0.8 = True. (0.1+0.8) = 0.45 = Threshold. y < 0.45 = False. y > 0.45 = True. With above assumptions, you'll find that your "others very different" results are precise results in boolean terms. This API implements Stochastic Gradient Descent. As the name implies, it's not deterministic. Most probably, if you increment the number of epochs, results will look more stable. Please feel free to bring to my attention anything that you believe isn't correct or sufficient in this reply. -- You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub [2], or unsubscribe [3]. Triage notifications on the go with GitHub Mobile for iOS [4] or Android [5].

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Share your artificial intelligence source code example with everyone #8

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