Shape Changing Aircraft Control Surfaces

The subject of shape changingaircraftcontrol surfaces encompasses a wide range of important elements. Difference between numpy.array shape (R, 1) and (R,). Shape 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. tensorflow placeholder - understanding `shape= [None,`.

You can think of a placeholder in TensorFlow as an operation specifying the shape and type of data that will be fed into the graph.placeholder X defines that an unspecified number of rows of shape (128, 128, 3) of type float32 will be fed into the graph. a Placeholder does not hold state and merely defines the type and shape of the data to flow ... r - How would one add a new shape, with both outline color and fill ....

Donuts (hollow circles) are also intriguing. What would it take to build one of these shapes and incorporate it fully into ggplot's machinery so that "it just works" whenever a user says "shape = XXX" in a ggplot call? Ideally, any shape added would have separate stroke color and interior fill color aesthetics. Visio Master Shape Unable to Edit Data Graphic - Stack Overflow. Background I want to create a reusable shape in Visio (Visio 365 Desktop) with certain data attached.

This perspective suggests that, i created a custom Stencil in "My Shapes", right clicked it and selected "Edit S... python - 'list' object has no attribute 'shape' - Stack Overflow. 8 list object in python does not have 'shape' attribute because 'shape' implies that all the columns (or rows) have equal length along certain dimension. Additionally, let's say list variable a has following properties:

It's important to note that, python - Keras Dense layer Output Shape - Stack Overflow. For example, output shape of Dense layer is based on units defined in the layer where as output shape of Conv layer depends on filters. Another thing to remember is, by default, last dimension of any input is considered as number of channel. python - shape vs len for numpy array - Stack Overflow.

Equally important, still, performance-wise, the difference should be negligible except for a giant giant 2D dataframe. So in line with the previous answers, df.shape is good if you need both dimensions, for a single dimension, len() seems more appropriate conceptually. Looking at property vs method answers, it all points to usability and readability of code. Keras input explanation: input_shape, units, batch_size, dim, etc.

Equally important, for any Keras layer (Layer class), can someone explain how to understand the difference between input_shape, units, dim, etc.? From another angle, for example the doc says units specify the output shape of a layer.... python - ValueError: shape mismatch: objects cannot be broadcast to a .... Numpy Typing with specific shape and datatype - Stack Overflow.

Currently i'm trying to work more with numpy typing to make my code clearer however i've somehow reached a limit that i can't currently override. Is it possible to specify a specific shape and also...