embedding

问题 I want to use scatter_nd_update to change the content of the tensor returned from tf.nn.embedding_lookup() . However, the returned tensor is not mutable, and the scatter_nd_update() require an mutable tensor as input. I spent a lot of time trying to find a solution, including using gen_state_ops._temporary_variable and using tf.sparse_to_dense , unfortunately all failed. I wonder is there a beautiful solution toward it? with tf.device('/cpu:0'), tf.name_scope("embedding"): self.W = tf

问题 I am training an LSTM in Keras: iclf = Sequential() iclf.add(Bidirectional(LSTM(units=10, return_sequences=True, recurrent_dropout=0.3), input_shape=(None,2048))) iclf.add(TimeDistributed(Dense(1, activation='sigmoid'))) The input to each cell is a 2048 vector which is known and need not to be learned (if you will, they are the ELMo embeddings of the words in the input sentences). Therefore, here I have not the Embedding layer. Since the input sequences have variable lengths, they are padded

问题 This isn't even an issue specific to a site I'm trying to make, as you can go to https://developers.google.com/youtube/youtube_player_demo to replicate the issue. Simply play the standard video without changing any options, and then untick the showinfo setting to try and remove the title, play the video again with the updated setting, and the title is still there. Any way to fix this? 来源： https://stackoverflow.com/questions/16459547/youtube-iframe-embed-showinfo-not-working-in-chrome-but

问题 I've been searching an answer to my question for quite a while but none of the ones that I have found seems to solve my problem. I'm trying to embed Python within my C++ code with the functionalities provided by Python (Python.h, Py_xxx functions, etc.). However, I'm having troubles in getting my C++ program to call the right Python interpreter. Indeed, there exist several interpreters on my machine (which by the way is a Mac running OSX 10.7.5). I have the default version of Python

问题 I am trying to use the 128 byte embeddings produced by the pre-trained base of the VGGish model for transfer learning on audio data. Using python vggish_inference_demo.py --wav_file ... to encode my training data to a tfrecord worked fine, but now I want to use this as an input to another model (e.g. a neural network I create with keras or something else). Using some similar questions and the documentation, I go this far with the first embedding record of one file: tfrecords_filename =

问题 Closed. This question is off-topic. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 3 years ago . I am working on a manuscript for introducing programming to beginners. Python is one of the two languages I cover in this book. I would like to setup up a webpage with an embedded Python shell for my readers to go and try things out. What would be the best way to go about it? I am aware of web apps like repl.it.

问题 I am using Python and PIL as part of my work on embedding data in binary images and need to analyse groups of pixels to determine appropriate pixels to manipulate in order to embed data. The image needs to be split into equal 'blocks' of pixel data ready for analysis, but I am struggling to come up with an appropriate method of doing this. I have tried techniques using Python and numPy arrays, but without success. Any suggestions would be greatly appreciated. Thanks 回答1: You need to use numpy

问题 This is hopefully a new problem or just me missing something obvious. Please help! I'm embedding a font into my AS3 application. I'm doing everything by-the-book and it half-works. In my main class, [Embed(source="Art/moolbor.ttf", fontFamily="MoolEmbed", mimeType="application/x-font")] var MoolEmbed:Class; Then later on in my code: var newFormat:TextFormat = new TextFormat(); newFormat.font = "MoolEmbed"; newFormat.size = 20; newFormat.color = 0xFCF374; year.autoSize = TextFieldAutoSize.LEFT

问题 I embedded a facebook video in my phonegap app where I've got two different problems and I'm able to fix just one of them . 1. first problem (fixed) - the facebook video was not being displayed in my app. So I could fix it doing something like this .fb-video { width: 100% !important; height:100%!important; } .fb-video span { width: 100% !important; height:4650px!important; } .fb-video iframe[style] { width: 100% !important; height:100%!important; } By the way I'm not sure if it's been doing

问题 i'm looking for a way to ship the python interpreter with my application (also written in python), so that it doesn't need to have python installed on the machine. I searched google and found a bunch of results about how to embed the python interpreter in applications written in various languages, but nothing for applications writtent in python itself... I don't need to "hide" my code or make a binary like cx_freeze does, i just don't want my users to have to install python to use my app,