embedding

问题 In machine learning, it is common to represent a categorical (specifically: nominal) feature with one-hot-encoding. I am trying to learn how to use tensorflow's embedding layer to represent a categorical feature in a classification problem. I have got tensorflow version 1.01 installed and I am using Python 3.6 . I am aware of the tensorflow tutorial for word2vec, but it is not very instructive for my case. While building the tf.Graph , it uses NCE-specific weights and tf.nn.nce_loss . I just

问题 I'm desiging a pygtk GUI and want to embed an external application into it. Does anyone have any idea how this can be done? 回答1: It depends on what application you are trying to embed into yours, but if the other app is a GTK app (or one that supports the XEMBED protocol), you should be able to do this with gtk.Plug and gtk.Socket. The PyGTK tutorial has a section explaining how to do this: http://www.pygtk.org/pygtk2tutorial/sec-PlugsAndSockets.html 回答2: This one might help. Read the article

问题 I'd like to use a pretrained GloVe embedding as the initial weights for an embedding layer in an RNN encoder/decoder. The code is in Tensorflow 2.0. Simply adding the embedding matrix as a weights = [embedding_matrix] parameter to the tf.keras.layers.Embedding layer won't do it because the encoder is an object and I'm not sure now to effectively pass the embedding_matrix to this object at training time. My code closely follows the neural machine translation example in the Tensorflow 2.0

问题 I'm using the tflearn wrapper over tensorflow to build a model, and would like to add metadata (labels) to the resultant embedding visualization. Is there a way to link a metadata.tsv file to a saved checkpoint after the fact of running it? I've created a projector_config.pbtxt file in the logdir of the checkpoint summaries, with the metadata.tsv being in the same folder. The config looks like this: embeddings { tensor_name: "Embedding/W" metadata_path: "C:/tmp/tflearn_logs/shallow_lstm/" }

问题 I was wondering if it is possible to autoplay an embedded YouTube video AND also have the video start at a certain point? Any help is appreciated. 回答1: You can just add the & to place another command in the embed script. The ? starts the first command, the & adds another. The Start command is in seconds: 1min10sec=70secs. Then just top it off with an autoplay=1 to automatically start playing. <iframe src="https://www.youtube.com/embed/acktYyOGG6w?start=29&autoplay=1" width="1" height="1" src=

问题 I want to make my program multilingual. I have successfully made the program multilingual via Form's Localizable and Language properties. It made some .resx files. Then I deleted non-needed files such as images (which they are the same in all langauges) etc from the .resx files. The problem is, for example, it also generates a folder called "en" and in that folder, another generated file is called "ProjectName.resources.dll". Is there anyway to embed this resource file to the .exe? Adding it

问题 We have a DLL that implements a custom programming language. What I want to do is adding support for the python language keeping the same code for "API function". I have succefully embedded python in this DLL, now I'm approaching the problem to expose all the old function as a python module. Now this DLL doesn't expose the API function as interface function but it's installed (as function pointer) to the language engine. In this way it's impossible to create a new python module (a new DLL).

问题 In this stackoverflow post it's explained how to add arbitrary fields to a golang struct by using it as an anonymous. This works fine if you are working with known struct types, but I'm wondering how to do the same thing when dealing with an unknown struct or interface. I wrote the following example to demonstrate: package main import ( "os" "encoding/json" "fmt" ) type example interface{} type Data struct { Name string } func printInterface(val interface{}) { example1 := struct { example

问题 I'm using an external swf containing a number of font classes to load and register the fonts for my flash site at runtime. (exported in the library panel Flash IDE then registered in the frame script) In this particular case the swf contains a number of different weights of the same family. eg. font roman, font italic, font light, font heavy, etc... The fonts appear to register fine, but when I try to use the fonts some of the fontName properties of these fonts are identical. Three are

问题 Say, if I have two SparseTensor s as following: [[1, 0, 0, 0], [2, 0, 0, 0], [1, 2, 0, 0]] and [[1.0, 0, 0, 0], [1.0, 0, 0, 0], [0.3, 0.7, 0, 0]] and I want to extract the first two rows out of them. I need both indices and values of non-zeros entries as SparseTensor s so that I can pass the result to tf.nn.embedding_lookup_sparse . How can I do this? My application is: I want to use word embeddings, which is quite straight forward in TensorFlow. But now I want to use sparse embeddings, i.e.: