Neyron tarmoq arxitekturasini boyitishning bir usuli bu tarmoqda ishlatiladigan aktivlashtirish funksiyalari, taraflamalar va og'irliklar kabi qo'shimcha ma'lumotlarni o'z ichiga olishdir. Mana bu ma'lumotni o'z ichiga olgan misol kodi: ``` import matplotlib.pyplot as plt ```): f (t) koordinatalarini aniqlang ``` input_nodes = [(0, 0.5), (0, 1.5), (0, 2.5) hidden_nodes = [(1, 1), (1, 2) output_node = [2, 1.5) ] ```` Aktivlashtirish funksiyalari, taraflamalar va og'irliklar ``` activation_functions = ['sigmoid', 'tanh','sigmoid'] biases = [0.1, -0.3,2] weights = [0.5, -0.4]
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