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Источник @procode404 · Post #3023 · 22 мая
🗳Нейронные сети Небольшие ролики на тему того, как работают нейросети, что такое нейроные смещения, параметры, функции активации и как математика превращает изображения в скетчи. 1. Пытаюсь познакомиться — [20:04] 2. Рисунок из фотографии — [11:31] 3. Функция активации — [7:22] 4. Нейрон смещения — [5:45] 5. Простые эксперименты — [14:00] Перейти к плейлисту #видео#ai
Поиск: #sequential
@djangoproject · Post #98 · 11.07.2016, 12:22
https://docs.python.org/3/library/asyncio.html #asyncio #Asynchronous programming is more complex than classical “#sequential” programming: see the Develop with asyncio page which lists common traps and explains how to avoid them. Enable the debug mode during development to detect common issues.
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@djangoproject · Post #153 · 03.09.2016, 20:20
http://wla.berkeley.edu/~cs61a/fa11/lectures/streams.html In this chapter, we continue our discussion of real-world applications by developing new tools to process #sequential#data. In Chapter 2, we introduced a sequence interface, implemented in Python by built-in data types such as #tuple and #list. #Sequences supported two operations: querying their length and accessing an element by index. In Chapter 3, we developed a user-defined implementations of the sequence interface, the Rlist class for representing recursive lists. These sequence types proved effective for representing and accessing a wide variety of sequential #datasets.