Recently Active Questions
12,769 questions
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How to scale all positive continuous reward?
My RL project has all positive continuous rewards for every step and the goal is to have the maximum cumulative reward (episodic reward). The problem is that the rewards are too close and all between ...
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How to encode categorical data for a convolutional model?
Is there a way to encode categorical nominal (no ordered) data to be used in CNN models?
Let's say I need to create a 1D CNN model for categorization of time series but the values are not measurements,...
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Is knowing the class of probability density function mandatory for explicit density estimation?
In deep learning, models may learn the probability distribution that generated the dataset. Observe the following paragraph from Chapter 5: Machine Learning Basics from the book titled Deep Learning (...
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ML-based algorithm/software for solving a sudoku puzzle a human way
I am a new contributor and have no experience in ML, so this first question is a general one.
I've developed a sudoku solving app and since then I wonder whether it would be feasible to design a ML-...
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What would be a good cost function based on both saliency-maps and labels?
I have a number of input samples where: every input sample has both a label and a reference-map. This reference-map gives a score to each location of an input sample. The score defines how much this ...
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How to train a neural network with a non-differentiable linear program in the loss?
I am currently trying to train a neural network to predict certain input parameters for a linear program based on an input dataset of system measurements related to these parameters. The workflow is ...
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Can you make Q&A language model stay on topic?
I’m thinking of fine-tuning a pre-trained language model for a Q&A task. More specifically, I’d like to fine-tune the model on a single chapter in a classic college textbook. Afterward, the reader ...
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Python GraphRag retrieval: Is using the embedded user's question when querying the data from graph good or bad?
I'm following a tutorial about using GraphRAG Python library to answer user's questions about actors who acted in the movies that match some specific description. The approach is to embed the user's ...
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Kernels on a trained CNN seem random
I saw this question and am having the same issue: kernels on a trained CNN look random.
I am using Pytorch to train a CNN, and based my code on examples that train the MNIST characters: ~50 ...
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How does Horn–Schunck method for Optical Flow solve the aperture problem?
This is regarding the details stated in Wikipedia.
I am reading optical flow in Computer Vision. I understood the Horn–Schunck method as such, but did not get how it is related to the aperture problem,...
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What is asymmetric relaxation backpropagation?
In Chapter 8, section 8.5.2, Raul Rojas describes how the weights for a layer of a neural network can be calculated using a pseudoinverse of the sigmoid function in the nodes, he explains this is an ...
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Why would someone want to simulate emotional desicion-making within an AI?
The Mario Lives! video (and its follow-up video, Mario Becomes Social!) showcases an AI unit that is able to simulate emotional decision-making within a virtual world, and can enter into "emotional ...
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why aren't my Training and validation losses do not reduce when fine-tuning ViTPose from huggingface
I am trying to fine-tune a transformer/encoder based pose estimation model available here at: https://huggingface.co/docs/transformers/en/model_doc/vitpose
When passing "labels" attribute to ...
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Synthetic to real image conversion for Pose Estimation
i have synthetic images of poses and that data is being used for trainig a pose estimatioon model, what i want is that i want to convert it to real images, meanig that the people appear real in it, i ...
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MATLAB implementation of Manifold-PBO algorithm producing different Monte Carlo simulation convergence results than paper
I'm trying to replicate the results from a paper that uses the Manifold-PBO algorithm in a Monte Carlo simulation, but my implementation is producing significantly different convergence curves ...
