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4 votes
1 answer
3k views

What are the major differences between cost, loss, error, fitness, utility, objective, criterion functions?

3 votes
1 answer
1k views

How to identify the geometry (vertices and edges) of objects in images?

2 votes
0 answers
18 views

Identifying and Reducing Persistent Artifacts in Neural Vocoders

4 votes
2 answers
755 views

Why is Batch Gradient Descent performing worse than Stochastic and Mini-Batch Gradient Descent?

0 votes
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48 views

How to avoid bias with administrative censoring in survival models

2 votes
3 answers
2k views

Why do LLMs need massive distributed training across nodes -- if the models fit in one GPU while batch decreases the variance of gradients?

3 votes
2 answers
879 views

Is $(y_i - \hat y_i)x_i$, part of the formula for updating weights for perceptron, the gradient of some kind of loss function?

2 votes
3 answers
97 views

How to make AI reliably use uploaded documentation without hallucinating?

5 votes
1 answer
482 views

NEAT can't solve XOR completely

1 vote
1 answer
184 views

Since ReLU activations also result in a sparse network, does it have the same "feature selection" property as L1 regularization?

1 vote
1 answer
173 views

What does "All store and access operations (for S(t) , A(t), and R(t)) can take their index mod n + 1" mean?

1 vote
2 answers
314 views

What kind of algorithm or approach can I use to find a specific type of object in an image?

3 votes
1 answer
340 views

Why do I get small probabilities when implementing a multinomial naive Bayes text classification model?

0 votes
1 answer
102 views

I'm trying to train an AI but I have low accuracy using rust and pytorch

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