Questions tagged [reshape]
The reshape tag has no usage guidance.
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Keras loaded model output is different from the training model output
When I train my model it has a two-dimension output - it is (none, 1) - corresponding to the time series I'm trying to predict. But whenever I load the saved model in order to make predictions, it has ...
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1answer
29 views
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How to reshape long data to wide data format using Orange?
I have a table with 3 columns: Time, Tagname, TagValue. I would like to split the TagValue column by Tagname so that the resulting table has Time and each Tagname in a separate column and the ...
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12 views
Input shape error for multi label segmentation
I am trying to perform multi-class segmentation and when I try to feed the model with my input images and model it get this error:
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27 views
Recurrent Python Neural Networks - Reshape () Error [duplicate]
The script below creates the arrays for data prediction using recurring neural networks, If I set the period to 4, the script runs, but I have a 5 value input, how to fix my reshape?
DATA SET
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2answers
348 views
Data Reshaping for CNN using Keras
I'm a beginner in Keras. I've loaded MNIST dataset in Keras and checked it's dimension.
The code is
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1answer
31 views
how to create multiple plot from a panda Dataframe
I want to plot multiple plots.
The data is stored in a pandas dataframe and each row should be a seperate plot.
Each row has an ID (ZRD_ID) which doenst matter and a date (TAG) and 24 values to be ...
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1answer
171 views
Word Embeddings with TFIDF vectorizer
I am a beginner in machine learning.
I have a large corpus of texts, divided into thematic groups. I would like to get idf values for the whole corpus, and then apply it on each group before ...
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0answers
42 views
ValueError when reshaping to 4 dim array for the Keras API
DL beginner here. I'm trying to implement LeNet using Keras and apply it on good ol' MNIST.
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1answer
90 views
numpy array reshape question
Let's say that I have image data with shape $(32, 32, 3)$ and $50000$
If I would like to reshape it to $(50000, 3, 32, 32)$ what should I do?
I tried ...
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0answers
18 views
Tensor Shape 'Reshape' during the dataflow
I would like to combine an Autoencoder with a LSTM. However, the 'timestep' is a block for the implements and I would like to train them together. Is there a solution to the tensor 'reshape'? I mean, ...
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1answer
39 views
What is the difference between different batch_sizes in Keras Sequential models?
I am interested to know, what happens when I choose batch_size=1 or batch_size=1000 or any other numbers in ...
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1answer
400 views
keras Sequential CNN for image data reshaping data issues
I am new at keras and CNN and am working on building at CNN for sequential analysis of movement in a image. What I am having issues with is the reshaping the data and the labels that go into the ...
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1answer
2k views
Keras input shape error
I am trying to load a Keras model and make predictions with it and run into a strange error. An minimal example is the following:
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1answer
189 views
Is the multilayer perceptron only able to accept 1d vector of input data? If yes, why is this so?
I am going through the tutorial at the link below which uses MNIST handwritten digit database.
https://machinelearningmastery.com/handwritten-digit-recognition-using-convolutional-neural-networks-...
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1answer
7k views
Please explain input shape in Keras
My data consists of 2-dimensional arrays with shape (2,3).
The whole dataset (emp) consists of 12 items (I know that it is too small of a number for an NN training, ...
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1answer
4k views
Are view() in Pytorch and reshape() in Numpy similar?
Are view() in torch and reshape() in Numpy similar?
view() is applied on torch tensors to ...
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1answer
437 views
Reshape features in rows intro columns python?
My features are arranged in rows, Can anyone tell me please how can I transform them into columns with theirs corresponding times and values??
I mean each features has a set of corresponding times and ...
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1answer
740 views
Predictions with arbitrairy sequence length for stateful RNN (LSTM/GRU) in Keras
I have time series data of the following properties:
input shape: (num_timesteps, num_features)
output shape: (num_timesteps, num_outputs)
I reshape it to batch ...
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4answers
2k views
rows to columns in data.table R (or Python)
This is something I can't achieve with the reshape2 library for R. I have the following data:
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