Questions tagged [epochs]
The epochs tag has no usage guidance.
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How does seeing training batches only once influence the generalization of a neural network?
I am referring to this question/scenario Train neural network with unlimited training data but unfortunately I can not comment.
As I am not seeing any training batch multiple times I would guess that ...
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How are the mini-batches performance used to obtain the overall accuracy in ML packages?
For the sake of exemplification, let us consider the the time series convolutional neural network (CNN) classifier from the sktime (this question can be applied for ...
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Should I need to cure the curve for the model?
I have several classification models that used for image classification. The epochs is set to 100 for both. Model A gave me accuracy 99.7 and stopped at epoch 100 but Model B gave me 99.93 but take ...
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Is it the right approach to select the model when it gives highest accuracy on validation dataset?
I am training the Densenet121 Model on an image dataset. I divided the dataset into 80% for training and 20% for testing.
Then I further divided the training data into 85% for training and 15% for ...
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Epochs for new batch when online training?
I am online training a RNN with fixed batch size k on a time series. Initially I train my model with n batches and a number of e epochs. When a new batch n+1 is available, I would like to update the ...
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Overfitting followed by well-fitting with large number of epochs
A few months ago I found an article it was explaining that some experiments had shown some networks would start well-fitting after overfitting happened in higher epochs. e.g. overfitting starts at ...
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Proof that averaging weights is equal to averaging gradients (FedSGD vs FedAvg)
The first paper of Federated Learning "Communication-Efficient Learning of Deep Networks from Decentralized Data" presents FedSGD and FedAvg. In Federated Learning the learning task is ...
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Is 500 epochs too much for a CNN project?
I am working on a project where I need to train a model with a data set of 250 images. My epochs count is 500. Is that too much? Will it overfit?
I did this because ...
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how can i set learning rate for big data?
will it need more epochs for training or it is not a necessary and what is the learning rate I should set for this data with optimizer adam?
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Is fitting a model in a for loop equivalent to using epochs>1?
I'm using tensorflow to train a network to do an image segmentation task, and I have a question about the behavior of model.fit between epochs, specifically:
Is ...
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The case of (1,478) dim and parameters of neural network to find out
colleagues, actually I am kind'a new to NN, but hard trying..
I have data:
Index: 40073 entries (excluded from training, UID)
Columns: 484 entries
dtypes: bool(468), float64(2), int64(13), object(1)
I ...
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Are less training epochs better in the following scenario
So I have a scenario in which the training data is being generated in response to what the Neural Network backed actor is doing. In essence its giving feedback to the Neural Network based on all of ...
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Which is meant by +/-9.2e18 years in timespan?
I was able to convert the 9.2e18 AD to a date, but I am confused about the exact date. Which date is 9.2e18 AD and and 9.2e18 BC?
Time span (absolute) - [9.2e18 BC, 9.2e18 AD] i.e +/- 9.2e18 years
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How can I choose num of epochs and batch size?
I have the coco 2014 dataset and need to train it as training is around 82700 and testing is 40500. However, I got the same sentence with different values every time with ...
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How does epochs related with converging the model?
I have read on Internet that epochs is used to give the time for the model to converge but I don't know how ? . I was thinking that epochs is used because to train the model sufficient times . How ...
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