http://www.bing.com:80/search?q=Shape+of+Transformer+Encoder+Y+DecoderSearch resultshttp://www.bing.com:80/s/a/rsslogo.gifhttp://www.bing.com:80/search?q=Shape+of+Transformer+Encoder+Y+DecoderCopyright © 2026 Microsoft. All rights reserved. These XML results may not be used, reproduced or transmitted in any manner or for any purpose other than rendering Bing results within an RSS aggregator for your personal, non-commercial use. Any other use of these results requires express written permission from Microsoft Corporation. By accessing this web page or using these results in any manner whatsoever, you agree to be bound by the foregoing restrictions.https://stackoverflow.com/questions/10200268/what-does-shape-do-in-for-i-in-rangey-shape0shape is a tuple that gives you an indication of the number of dimensions in the array. So in your case, since the index value of Y.shape[0] is 0, your are working along the first dimension of your array.Tue, 21 Apr 2026 15:39:00 GMThttps://stackoverflow.com/questions/22053050/difference-between-numpy-array-shape-r-1-and-rShape n, expresses the shape of a 1D array with n items, and n, 1 the shape of a n-row x 1-column array. (R,) and (R,1) just add (useless) parentheses but still express respectively 1D and 2D array shapes, Parentheses around a tuple force the evaluation order and prevent it to be read as a list of values (e.g. in function calls).Wed, 22 Apr 2026 09:32:00 GMThttps://stackoverflow.com/questions/48134598/x-shape0-vs-x0-shape-in-numpyOn the other hand, x.shape is a 2-tuple which represents the shape of x, which in this case is (10, 1024). x.shape[0] gives the first element in that tuple, which is 10. Here's a demo with some smaller numbers, which should hopefully be easier to understand.Wed, 22 Apr 2026 08:28:00 GMThttps://stackoverflow.com/questions/51455927/what-does-shape0-and-shape1-do-in-pythonIn python shape [0] returns the dimension but in this code it is returning total number of set. Please can someone tell me work of shape [0] and shape [1]? Code: m_train = train_set_x_orig.shape [0]Sat, 18 Apr 2026 16:11:00 GMThttps://stackoverflow.com/questions/65949568/what-does-rangey-shape1-mean-in-for-i-in-rangedataset2-shape1I'm trying to find out how this above-mentioned piece of code works in a layman sense? for context, this code contains Numpy, Seaborn, Pandas and matplotlib. below is the line of code: dataset2 = d...Thu, 23 Apr 2026 13:13:00 GMThttps://stackoverflow.com/questions/78325927/python-how-to-resolve-inhomogenous-shapeThe requested array has an inhomogeneous shape after 2 dimensions. The detected shape was (200, 2) + inhomogeneous part. Concerned codelines are: ... Basically, the code iterates through a collections of images and performs some operations on such images that outputs the (1x4) vector. The image and its operated-output are then added to the dataset.Fri, 24 Apr 2026 06:10:00 GMThttps://stackoverflow.com/questions/79299549/i-keep-getting-the-same-error-when-using-input-dim-and-input-shapeWhen using Sequential models, prefer using an Input(shape) object as the first layer in the model instead.'? This is a warning, not an error, and it also tells you how to fix it.Tue, 21 Apr 2026 04:19:00 GMThttps://stackoverflow.com/questions/77378903/how-to-import-convert-svg-to-native-draw-io-shapeConversely, for the standard shape, I can assign a distinct style. I am dreaming of a diagram editor that allows for importing complex shapes and preserving the style of the page. Draw.io has potential, but from my understanding, it only supports SVG import or raw XML code with no WYSIWYG editor.Wed, 22 Apr 2026 23:30:00 GMThttps://stackoverflow.com/questions/44747343/keras-input-explanation-input-shape-units-batch-size-dim-etcFor any Keras layer (Layer class), can someone explain how to understand the difference between input_shape, units, dim, etc.? For example the doc says units specify the output shape of a layer....Wed, 22 Apr 2026 02:59:00 GMThttps://stackoverflow.com/questions/55725139/fit-sigmoid-function-s-shape-curve-to-data-using-pythonI'm trying to fit a sigmoid function to some data I have but I keep getting: ValueError: Unable to determine number of fit parameters. My data looks like this: My code is:Sun, 19 Apr 2026 17:07:00 GMT