deep-learning tag

54 questions

1 answers
248 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
410 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
247 views
0

I'd like to create an algorithm in javascript that can be regressed with any graph, such as scipy.optimize.curve_fit (I'd like you to tell me a library that corresponds to that). Or I would like you to tell me an algorithm for regression specifically for sigmoid functions.) )

I would like to create an algorithm in javascript that can be regressed with any graph, such as scipy.optimize.curve_fit.The library I found is at the following URL:https://www.npmjs.com/package/regre...

python javascript deep-learning scipy

1 years ago

1 answers
433 views
0

Is there a paper on how to select the data to be entered into the model in multivariate time series data?

For example, you have 100 multivariate time series data and want to predict one time series data.In this case, how do I choose the data I really need to predict from 100 pieces of data?In addition, if...

deep-learning

1 years ago

1 answers
415 views
0

I want to import the common module

I'm studying a book called Deep Learning from scratch.If you continue to read, you will be importing a module called common, where the following error occurs:ModuleNotFoundError: No module named 'comm...

python python3 deep-learning

1 years ago

1 answers
354 views
0

Is Keras validation_split cross-validation?

I'm studying Python on my own.With Keras code, model.fit(x_train,y_train,verbose=1,validation_split=0.2,shuffle=True,epochs=20000)At that time, we understand that learning occurs over 20,000 epochs, w...

python deep-learning keras

1 years ago

2 answers
158 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

1 years ago

1 answers
79 views
0

Compute matrices in PyTorch

I'm using PyTorch to learn in-depth learning.I use numpy's np.tile and np.reshape in the forward calculation, but if I convert the Tensor type to numpy's ndarray type, the requirements_grad informatio...

python numpy deep-learning pytorch

1 years ago

1 answers
126 views
0

Improvement of Fine Tuning Accuracy

I'm doing fine tuning, but I've been fiddling with all the binding layers of vgg16, while freezing the convolutional layers.However, once the convolutional layer was made available without freezing, t...

deep-learning keras

1 years ago

1 answers
105 views
0

convert error in csv reading of python deep learning

Currently, I am trying to read csv in Python's pandas to learn.So if you run itValueError: could not convert srtrring to float' v-0.6703230.0173202.448769\nv-0.2484260.0668552.655411\nv-0.634120.15956...

python pandas deep-learning

1 years ago

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