Unanswered Questions
789 questions with no upvoted or accepted answers
10
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1
answer
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Why is my Keras model not learning image segmentation?
Edit: as is turns out, not even the model's initial creator could successfully fine-tune it. This is most likely a problem of implementation, or possibly related to the non-intuitive way in which the ...
CommunityBot
- 1
7
votes
0
answers
3k
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Tensorflow v1 Dataset API AttributeError with ndim
I'd like to make pipeline for optimizing Gpu and Cpu.
Dataset
It's about 10000 datapoint and 4 description variables for the regression problem.
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- 201
7
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0
answers
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Using the Python Keras multi_gpu_model with LSTM / GRU to predict Timeseries data
I'm having an issue with python keras LSTM / GRU layers with multi_gpu_model for machine learning.
When I use a single GPU, the predictions work correctly ...
- 171
7
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0
answers
1k
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Multivariate, multistep forecasting with LSTM
I want to use an RNN with LSTM to forecast multiple steps into the future, based on multiple inputs. I have some ideas for different ways to approach this, but I'm afraid I'm missing the "right way" ...
- 171
6
votes
1
answer
8k
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Keras - Implementation of custom loss function with multiple outputs
I am trying to replicate (a way smaller version) the AlphaGo Zero system. However, in the network model, I am having a problem. The loss function I am supposed to implement is the following:
$$l = (z -...
CommunityBot
- 1
6
votes
0
answers
237
views
Connect output node to next hidden node in RNN
I'm trying to build a neural network with an unconventional architecture and a having trouble figuring out how. Usually we have connections like so, where $X=$ input, $H=$ hidden layer, $Y=$ output ...
- 2,288
5
votes
0
answers
1k
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Tensorflow, Optimizer.apply_gradient: 'NoneType' object has no attribute 'merge_call'
My program gives the following error message:
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- 1,008
4
votes
0
answers
288
views
ResNet50 + Transformer
In many papers people extract features from image using ResNet and than pass them through transformer. I want to implement the same. I want to get features and than classify them using transformer. ...
- 1,279
4
votes
1
answer
107
views
Unable to learn weights of a Word2Vec model
I was going to implement a word embedding model - namely Word2Vec - by following this TensorFlow tutorial and adapting the code a little bit. Unfortunately, though, my model won't learn anything. I've ...
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4
votes
0
answers
645
views
How to use a ragged tensor with a convolutional layer?
I have textual data of various lengths for which ragged tensors seems well suited. For instance my data could look as follows :
...
4
votes
1
answer
477
views
Multiple activation functions with TensorFlow estimator DNNClassifier
I just want to know if is it possible to use tf.estimator.DNNClassifier with multiple different activation functions. I mean, could I use a DNNClassifier estimator which use different activation ...
CommunityBot
- 1
4
votes
1
answer
1k
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What does it mean that classes are mutually exlcusive but soft-labels are accepeted?
The Tensorflow's documentation of softmax_cross_entropy_with_logits:
Measures the probability error in discrete classification tasks in
which the classes are mutually exclusive (each entry is in ...
- 14.3k
3
votes
0
answers
218
views
LSTM output capped at a maximum
I am using a LSTM built using to forecast a single-value (solar irradiance) by using weather data as my input.
When predicting my validation test, I get a weird results as it looks like all my ...
- 432
3
votes
1
answer
1k
views
Understanding Conv1D Output Shape
I am a little confused with the output shape that Conv1D produces. Consider the code I have used as the following (a lot has been omitted for clarity):
...
CommunityBot
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3
votes
2
answers
2k
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How to handle undefined or null data in a neural network
Let me preface this post with I am incredibly new to machine learning/neural networks. I am currently working on a classification neural network using TensorFlow whose input is multiple features of ...
CommunityBot
- 1