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Pour les articles homonymes, voir Sphinx. Sphinx de Gizeh.mw-parser-output .entete.egypte-antique{background-image:url("//upload.wikimedia.org/wikipedia/commons/c/cc/Picto_infobox_ancient_Egypt.png")} Site d'Égypte antique Le visage du sphinx de Gizeh. Noms en arabe أبو الهول , Abou al-Hôl Localisation Région Basse-Égypte Coordonnées 29° 58′ 31″ nord, 31° 08′ 16″ est Géolocalisation sur la carte : Égypte Sphinx de Gizeh modifier   Le sphinx de Gizeh est la statue thérianthrope qui se dresse devant les grandes pyramides du plateau de Gizeh, en Basse-Égypte. Sculpture monumentale monolithique la plus grande du monde [ 1 ] avec 73,5 mètres de longueur, 14 mètres de largeur et 20,22 mètres de hauteur, elle représente un sphinx couchant. Réalisée vers -2500, elle serait attribuée à Djédefrê, l'un des pharaons de la IV e  dynastie, représentant son père le pharaon Khéops. Sommaire 1 Étymologie 2 Desc...

1 I am trying to find out how to save and close to an existing workbook using xlwings after writing in it: import xlwings as xw list_of_values = [1, 2, 3] workbook_path = 'abc.xlsx' wb = xw.Book(workbook_path) ws = wb.sheets['sheet1'] ws.range('E35').value = list_of_values wb.save() wb.close() When I get to wb.save(workbook_path) , there is a prompt stating: 'A file named abc.xlsx' already exists in this location. Do you want to replace it?' I want to overwrite the file immediately without the prompt coming up. According to the docs, wb.save() should automatically overwrite (see: https://docs.xlwings.org/en/v0.6.4/api.html). I have also tried wb.save(workbook_path) but the pop-up still appears. Appreciate any help on this please. p.s. - I am basically try...

0 For some arbitrary configuration of a neural network, say a basic multi layer perceptron, is there a way to break down a network into a number of smaller networks, compute them individually, and recombine them? For matrix multiplication, you can do something like this, where if you have two 16x16 matricies, you can break them into 8x8 blocks and multiply the individual blocks together, then add them together to get the same result as doing the 16x16 multiplication, without doing any unnecessary computation. I am wondering if there is any kind of similar mechanism someone could use if they had some kind of hardware multiplier capable of computing a network of a fixed size and wanted to use it to compute a larger network. Thanks for any help you can offer! neural-net...