machine-learning tag

86 questions

1 answers
273 views
0

I want to learn only 1 and 2 data from MNIST data of handwritten numbers.

The default image data set for handwritten numbers is 1 to 10.I would like to take out only 1 and 2 of them so that I can only categorize 1 and 2.We followed the steps below.·Take out image data and l...

python machine-learning tensorflow deep-learning keras

1 years ago

1 answers
300 views
0

Gaussian_filter fails when executing CSRNet code using SciPy

Create density map annotations from Person Head Position Annotations in CSRNet for Crowd counting models.Traceback (most recent call last): File /path/to/directory/make_dataset.py, line 67, in<modu...

python machine-learning scipy

1 years ago

1 answers
452 views
0

I want pytorch to have a value other than the location of the index with the highest value in the Tensor.

I want pytorch to have a value other than the location of the index with the highest value in the TensorI have a three-dimensional sensor in Pythorch, and I would like to set the highest value among d...

python machine-learning pytorch

1 years ago

1 answers
474 views
0

Error on scikit-learn: ValueError: Expected 2D array, got1D array installed:

An error occurred when sklearn tried to fit the decision tree algorithm by separating the training data from the test data.I don't know how to solve it, so please point it out if you like.import numpy...

python machine-learning scikit-learn

1 years ago

1 answers
454 views
0

Error in train_test_split on scikit-learn: ValueError: not enough values to unpack (expected 5, got 4)

I'm a beginner at Python and I'm doing epidemiological research using machine learning, but I don't know if it's the right way to proceed.Currently, I am having trouble adjusting hyperparameters.If yo...

python machine-learning google-columnatory scikit-learn

1 years ago

1 answers
427 views
0

Is this an overlearning phenomenon?

35 minutes ago35 minutes agoWhen training neural networks (NN) A and B with different configurations simultaneously with the same training data (batch), the inference accuracy of B is always much bett...

machine-learning deep-learning

1 years ago

1 answers
431 views
0

TypeError: linear(): argument 'input' (position 1) must be Tensor, not table not resolved successfully

I would like to make an inference about the model I learned in Pythorch.The model has two inputs and one output.Therefore, I tried to make an inference with two inputs, but it didn't work well.How can...

python machine-learning pytorch

2 years ago

2 answers
164 views
0

machine learning when characteristic quantities are related to each other

I have a question about machine learning.when the feature has several layers of structureFor machine learning with Python scikit-learn, etc.Please tell me what kind of data to treat and what model is ...

python machine-learning

2 years ago

1 answers
143 views
0

I want to use unlabeled sensor data for classification.

In a copy project of a paper, I'm trying to implement a sensor in my ear to recognize facial expressions (output is 0 when I'm not doing anything, 1 when I open my mouth wide).Easy implementation of n...

python3 machine-learning chainer

2 years ago

2 answers
200 views
0

Differences in evaluation between training and test data

I'm doing a competition problem with Python that predicts a certain number.We took only the available feature quantities from the given training data and similarly took the same feature quantities fro...

python machine-learning deep-learning scikit-learn pytorch

2 years ago

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