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TENSORFLOW QUESTIONS

What is the right way to Computing correct predictions in Tensorflow?
What is the right way to Computing correct predictions in Tensorflow?
this will help For your y_conv you do everything right -- it is a matrix of shape (batch_size, n_classes) where for each sample and for each class you have a probability that this is the class the image belongs to. So to get the actual predicted clas
TAG : tensorflow
Date : November 23 2020, 11:01 PM , By : vikesh kumar
Textsum - Incorrect decode results compared to ref file
Textsum - Incorrect decode results compared to ref file
I wish this help you Going to answer this one myself. Seems the issue here was the lack of training data. In the end I did end up sorting my vocab file, however it seems this is not necessary. The reason this was done, was to allow the end user to li
TAG : tensorflow
Date : November 22 2020, 11:00 PM , By : Sunil Reddy
Tensorflow: Calling externally set-up function in `tf.scan` (e.g using `tf.make_template`) results in error
Tensorflow: Calling externally set-up function in `tf.scan` (e.g using `tf.make_template`) results in error
it should still fix some issue Using a tf.constant_initializer solves the problem. This is described here.
TAG : tensorflow
Date : November 15 2020, 11:01 PM , By : Debbie Mahlum
tf.rank function in Tensorflow
tf.rank function in Tensorflow
wish of those help Firstly, tf.rank returns the dimension of a tensor, not the number of elements. For instance, the output from tf.rank called for the 2x2 matrix would be 2. To print the rank of a tensor, create an appropriate node, e.g. rank = tf.r
TAG : tensorflow
Date : November 11 2020, 11:01 PM , By : Shahariar
How to fix truncated tfrecords for tensorflow?
How to fix truncated tfrecords for tensorflow?
To fix the issue you can do The message means what it says --- the TFRecord file seems to end unexpectedly part way through a record.If you want to understand what's going on under the hood, the file format is quite simple and is documented here: htt
TAG : tensorflow
Date : November 06 2020, 11:01 PM , By : Jaggu
Tensorflow PDE Tutorial Questions
Tensorflow PDE Tutorial Questions
will be helpful for those in need You can perform sliced assignment in Tensorflow. Try something like this:
TAG : tensorflow
Date : November 05 2020, 11:01 PM , By : Rayna
How to use non-image input for conv-neural network in tensorflow?
How to use non-image input for conv-neural network in tensorflow?
Hope that helps This does not look like data that is suited for a convnet - convnets assume that it makes sense to share the weights locally, so they make sense when there's some form of locality in data. So it makes sense for other things than image
TAG : tensorflow
Date : October 31 2020, 05:38 PM , By : HaSaN-Zzz
ImportError: libcudnn.so.6: cannot open shared object file: No such file or directory Tensorflow
ImportError: libcudnn.so.6: cannot open shared object file: No such file or directory Tensorflow
I hope this helps . Make sure they are in the correct directory after you install cuda and cudnn. Run the following command after installing cudnn 6. Tensorflow only checks the required file on you cuda directory. So we copy or link the required file
TAG : tensorflow
Date : October 26 2020, 11:56 AM , By : Callum Marks
Calling a Keras model on a TensorFlow tensor but keep weights
Calling a Keras model on a TensorFlow tensor but keep weights
I wish this help you Finally found the answer. There are two problems in the example from the question. 1:
TAG : tensorflow
Date : October 24 2020, 03:08 PM , By : Ann Prokoliy
Create tensors where all elements up to a given index are 1s, the rest are 0s
Create tensors where all elements up to a given index are 1s, the rest are 0s
hope this fix your issue You can reshape lengths to a (10, 1) tensor, then compare it with another sequence/indices 0,1,2,3,...,25, which due to broadcasting will result in True if the indices are smaller then lengths, otherwise False; then you can c
TAG : tensorflow
Date : October 23 2020, 01:08 AM , By : Solanki Nikunj
Is the object location in train effect the results for Faster RCNN?
Is the object location in train effect the results for Faster RCNN?
I think the issue was by ths following , Quoting faster-RCNN paper:
TAG : tensorflow
Date : October 21 2020, 03:08 PM , By : mukesh kumar
Keras models in tensorflow
Keras models in tensorflow
hop of those help? I'm building image processing network in tensorflow and I want to make use of texture loss. Texture loss seems simple to implement if you have pretrained model loaded. , It seems following code does the trick
TAG : tensorflow
Date : October 21 2020, 03:08 PM , By : siva
Tensorflow serving error when connecting with client "input size does not match signature"
Tensorflow serving error when connecting with client "input size does not match signature"
I wish did fix the issue. QuantumLicht I again just want to thank you for your assistance here as it was one part of my issue. It seemed to have something to do with the keys used in the feature config. I am still using TF 1.2 and I remember reading
TAG : tensorflow
Date : October 16 2020, 03:08 PM , By : user44188
autocorrelation of the input in tensorflow/keras
autocorrelation of the input in tensorflow/keras
may help you . TensorFlow now has an auto_correlation function. It should be in release 1.6. If you build from source you can use it right now (see e.g. the github code).
TAG : tensorflow
Date : October 14 2020, 09:39 AM , By : Phil Bischi
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