Questions tagged [pruning]
The pruning tag has no usage guidance.
14
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4 views
Cost-complexity pruning: what the method does exactly?
The tree::prune.tree R function has a method parameter, described in the guide as:
character string denoting the measure of ...
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1answer
21 views
cost-complexity-pruning-path with pipeline
I'm using Kaggle's titanic set. I'm using pieplines and I'm trying to prune my decision tree and for that I want the cost_complexity_pruning_path. The last line of code produces the error:
...
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20 views
Search for redundant filters(channels) in CNN
When training a CNN one specifies in each layer the number of channels. In the input we have 1 channel for grayscale image and 3 for RGB image, and then usually the ...
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39 views
Pytorch: Faster inferences
I have trained a DL image classification model. The model size is 250 MB. I want to expedite the inference timing for both GPU and CPU run. On searching a bit, the general trend for faster inference ...
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0answers
72 views
How to apply pruning on a BERT model?
I have trained a BERT model using ktrain (tensorflow wrapper) to recognize emotion on text, it works but it suffers from really slow inference. That makes my model not suitable for a production ...
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18 views
SNIP (single-shot network pruning) definition in SynFlow paper
I am trying to understand how the SNIP saliency metric definition in the original paper is equivalent to the definition in the SynFlow paper on neural network pruning.
The former defines saliency $\...
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8 views
Is iterative pruning always structured?
Iterative pruning works like the following:
Evaluate model performance, continue if performance is fine
Apply pruning
Train the model
Go back to step 1
When doing this process using unstructured ...
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0answers
9 views
Common sub-networks
I am pruning a neural network (CNN and Dense) and for different sparsity levels, I have different sub-networks. Say for sparsity levels of 20%, 40%, 60% and 80%, I have 4 different sub-networks.
Now, ...
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1answer
145 views
Pruning in Decision trees
Following is what I learned about the process followed during building and pruning a decision tree, mathematically (from Introduction to Machine Learning by Gareth James et al.):
Use recursive binary ...
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0answers
32 views
Pruning CNN filters & Reinforcement Learning
I don't know if this is an appropriate place to ask this type of questions but I don't know where to ask.
I was reading this paper, it's about pruning cnn filters using reinforcement learning (policy ...
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0answers
25 views
Different Decision Tree pruning method
I am trying to learn different pruning methods for decision trees. I have put together a list of methods below.
Reduced Error Pruning
Cost Complexity pruning
Minimum error pruning
Pessimistic Error ...
1
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1answer
336 views
Structured and unstructured pruning for deep learning models
I was trying to understand structured and unstructured pruning techniques used for deep learning models: link 1 and link 2. To recap what I have understood that unstructured pruning is based on weight ...
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2answers
278 views
Weight pruning of CNN
I was confused when i was reading about weight pruning on CNN. Is it applied for all the layers including convolutional layers or only it is done for dense layers?
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1answer
632 views
What is Pruning & Truncation in Decision Trees?
Pruning & Truncation
As per my understanding
Truncation: Stop the tree while it is still growing so that it may not end up with leaves containing very low data points. One way to do this is to set ...
