All Questions
Tagged with machine-learning neural-network
1,709
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hacky backprop outperforms clean backprop - Why?
I implemented a basic NN for MNIST in Numpy and started with a hacky implementation of backprop (just randomly multiplying gradients together), but somehow that one works better than my cleaned up ...
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How weight vector behave when we initialize the weight to 0 in case of perceptron
While reading in book i encountered this statement
Now, the reason we don't initialize the weights to zero is that the learning rate (eta) only has an effect on the classification outcome if the ...
- 101
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Everything is classified as background by segmentation model
I am training a U-NET model for medical image segmentation. Problem is that the binary masks that im using to train the model mostly consist of background pixels and a very small region of the whole ...
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How to increase the optimial cutoff point(youden index) after training a model?
So I trained a model based on a medical dataset and and I got an AUROC for detecting cancer in brain images as about 0.96 and i noticed that the youden index is 0.1 but i want to increase it to 0.5 , ...
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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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55
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wierd neural network approache
I'm working on a problem where I need to create a neural network to optimize the seating arrangement for 24 unique individuals in a 6x4 grid, minimizing conflicts between adjacent (up,down,left,right) ...
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Class imbalance for binary classification tasks
I am looking to train a binary classifier. Most of my experience so far has been with generative models, not classifiers, so I am wondering with respect to training data, what is a good ratio of 0 and ...
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Outputting handwritten digits with a Neural Network
I know that you can use a neural Network to recognize handwritten digits. How would you then use that same neural network to output handwritten digits in the unique style of that network? In other ...
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Theoretical Limitations of Achieving 100% Accuracy in Modeling Non-linear Relationships with Neural Networks
I am working on a project where I need to model a specific non-linear relationship using a neural network. The relationship is given by $y = 3x_1^2x_2^3 $. The approach involves:
Preprocessing the ...
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How to explain missing dates to a model?
I have this dataset that I'm trying to train a neural network on.
The problem is that since weekend dates are not available, I am not confident in whether the model is able to account for that. ...
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62
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Improving GPU Utilization in LLM Inference System
I´m trying to build a distributed LLM inference platform with Huggingface support. The implementation involves utilizing Python for model processing and Java for interfacing with external systems. ...
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Is it possible to train a neural network to feed into a Random Forest Classifier or any other type of classifier like XGBoost or Decision Tree?
I want to create a model architecture to predict future stock price movement as such:
The Goal of this model is to predict if the price will go UP or DOWN within the next 3 months.
I have tried a few ...
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41
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How good are LSTMs in generalizing when learning curves?
I'm interested in the following scenario: I want to learn a mapping that maps a function to another function, i.e. I want to approximate a functional operator. If one is unfimiliar with operators one ...
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CS undergrad query about DS
why is learning DS so ambigious .you dont truly know what should you learn to actually do DS .web dev say has a clear path learn html css js and you can make something .i am a cs undergrad just want ...
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Patterns in weights of trained model?
Apologies for a naive question. Let's say I am training a simple feed-forward neural network using stochastic gradient descent with a fixed architecture, learning rate, number of training epochs, and ...
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