Why has this configuration chosen for feedback?
Why has this configuration chosen for feedback?
What should I do when my neural network doesn't generalize well? I'm training a neural network and the training loss decreases, but the validation loss doesn't, or it decreases much less than what I would expect, based on references or experiments with very similar architectures and data. How can I fix this?    As for question        to which this question is inspired, the question is intentionally left general so that other questions about how to reduce the generalization error of a neural network down to a level which has been proved to be attainable, can be closed as duplicates of this one.  See also dedicated thread on Meta: New UI encourages askers to confirm or dispute duplicate votes Prevent Adobe Reader from switching to "Fit Page" zoom when bookmark is clicked I have a late 2013 27" iMac running  Yosemite, and it randomly shuts off every now and then. I tried everything Reset SMC. Diagnostics, reformat Macintosh HD but still occurs and running out of options. Why are the two versions of Chromium and VLC available in Ubuntu software of different sizes? Can I perform a DNS lookup (hostname to IP address) using client-side Javascript? I am running a web site design service for local small business owner. I want avoid legal issues on the images I use. Usually, the images found on Flickr are forbidden for commercial use. Where would be a normal channel to get pictures for commercial use with minimal cost? How can I validate that the picture I used has no legal risk? How to best encapsulate monetary values in a database If I simply wrap my query with:  BEGIN TRANSACTION    COMMIT TRANSACTION   If anything fails inside of that, will it automatically rollback?  From looking at other code, they seem to check for an error, if there is an error then they do a GOTO statement which then calls ROLLBACK TRANSACTION  But that seems like allot of work, to have to check for IF( @@ERROR &lt;> 0) after every insert/update. Assign z values to depth curves in QGIS I'm new to QGIS and working with GIS in general (student of architecture), so please bear with me.  I have obtained shapefiles with topographic curves of an ocean floor. My intention is to export these as CAD files and render as 3D models of the ocean floor in Revit. I have done this procedure earlier with terrain shapefiles. My problem now is that these files mapping depth does not contain z values, so when exporting them into CAD they are completely flat rather than 3D models.  The depth information in meter exists as attributes in the file (see attached image). What I want is to transform this depth value into real z coordinates for each line so that the curves have different heights when importing as CAD file in Revit.  Thankful for any pointers in the right direction. How to model non-negative zero-inflated continuous data? I'm currently trying to apply a linear model (family = gaussian) to an indicator of biodiversity that cannot take values lower than zero, is zero-inflated and is continuous. Values range from 0 to a little over 0.25. As a consequence, there is quite an obvious pattern in the residuals of the model that I haven't managed to get rid of:   Does anyone have any ideas on how to solve this? Why are these black dots / spots appearing in my pictures? Prove that $x^x+y^y=z^z$ doesn't have integer solutions How do R and Python complement each other in data science? In many tutorials or manuals the narrative seems to imply that R and python coexist as complementary components of the analysis process. To my untrained eye, however, it seems that both languages sort of do the same thing.  So my question is if there are really specialized niches for the two languages or if it's just a personal preference whether to use one or the other? In a ring $(A,+, \cdot)$ if $aba = a$ then $bab = b$ and all non zero elements in $A$ are invertible. Let $\left(A,+, \cdot\right)$ be a ring with $1$  that satisfies the following condition:  For any nonzero $a\in A$, there exists a unique $b\in A$ such that $aba = a$.  Show that $b$ also satisfies $bab = b$, and that all nonzero elements of $A$ are invertible. Process Unicode files with BOM correctly with POSIX tools Should searching by default be AND or OR? On my website I have a search bar.  It's powered by Lucene.net.  I have a requirement to make search be a substring case insensitive search, with direct hits appearing before substrings.  What I don't know, however, is when a user searches for a multi-word item--say "Chocolate Milk"--should that be treated under the hood as an AND or OR search?  As an example:  *chocolate* AND *milk*   vs  *chocolate* OR *milk*   The requirement right now is to treat this as an AND, but I'm not sure if that's the right way to go about it.  What would be the best in terms of UX?  I would think the best thing to do would be an OR search, with items containing both keywords appearing before items containing only one of the keywords.  Thoughts?  EDIT: The types of items being searched are medical supplies, with very cryptic names. Detecting start bit in software UART I'm experimenting with writing a software UART on my microcontroller using GPIO pins. This is to temporarily add a UART channel on a project until we get the new design implemented that uses a uC with more UART ports.  What I'm having difficulty with is correctly detecting a start bit in a serial stream. The source of the stream is external and doesn't care when my device powers up. So it's very likely that my device will power on and start seeing data bits in the middle of a byte transmission. Undoubtedly, that will cause my software UART to read erroneous values, as it won't be able to tell the difference between a start bit and any other high-to-low transition.  Is this an inevitable issue with a UART channel? Or is there some clever trick that the uC manufacturers use in their hardware UARTs? Number of sigma algebras for set with 4 elements What does standard deviation tell us in non-normal distribution In a normal distribution, the  imparts standard deviation a lot of meaning, but what would standard deviation mean in a non-normal distribution (multimodal or skewed)? Would all data values still fall within 3 standard deviations? Do we have rules like the 68-95-99.7 one for non-normal distributions?