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1500 questions
5
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3 answers
Is it better to make neural network to have hierchical output?
i'm quite new to neural network and i recently built neural network for number classification in vehicle license plate. It has 3 layers: 1 input layer for 16*24(382 neurons) number image with 150 dpi , 1 hidden layer(199 neurons) with sigmoid…
강신욱
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5
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1 answer
How would you encode your input vector/matrix from a sequence of moves in game like tasks to train an AI? e.g. Chess AI?
I've seen data sets for classification / regressions tasks in domains such as credit default detection, object identification in an image, stock price prediction etc. All of these data sets could simply be represented as an input matrix of size…
ZYH
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1 answer
Is there a way to perform pattern recognition without a labeled training set?
I have a 10GB file of a time series 1D signal. I want to find some patterns within this signal, I know CNN's are great for this but the problem is I don't have any training data.
Now, I could, of course, spend an entire week slowly making 100…
Kachinsky
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1 answer
Current research on indoor localization and navigation in changing environment?
I'm trying to get up to speed on the latest research regarding indoor localization, scene classification, navigation in changing environment, etc.
Any advice would be appreciated, but I'm especially interested in recent research papers from vetted…
user50222
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2 answers
What is the effect of mislabeled training data?
Collecting and labeling training data for supervised learning tasks is incredibly time-consuming and costly.
For instance, let's say you wrote a script that went on Google images and got you 5000 pictures for each of 10 classes. You then use an…
pshlady
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5
votes
2 answers
Should the prediction of the body temperature given a camera image be modelled as classification or regression?
I am fairly new to deep learning in general and I am currently facing a problem I want to solve using neural networks and I am unsure if it is a classification or regression problem. I am aware that classification problems are about classifying…
UsualStranger
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votes
1 answer
How can the discriminator determine the sample is fake or real?
Based on the articles I've read, the discriminator can identify whether a sample is fake or real. However, the articles don't clarify the conditions used to determine if a sample is fake or real. I came across information suggesting that labeling…
David
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1 answer
Is the new AlphaGo implementation using Generative Adversarial Networks?
I read through the publication Mastering the game of Go without Human Knowledge. It doesn't seem to use GANs, just a new form of search and reinforcement learning.
dougvk
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DQN arXiv 10-year anniversary: What are the outstanding problems being actively researched in deep Q-learning since 2019?
Background
As of today (12-19-2023), the arXiv submission of the original deep Q-learning approach to achieve superhuman performance on ATARI games has turned a decade old. The original approach, sometimes referred to as vanilla DQN (2013), was the…
DeepQZero
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2 answers
What are the differences between seq2seq and encoder-decoder architectures?
I've read many tutorials online that use both words interchangeably. When I search and find that they are the same, why not just use one word since they have the same definition?
user
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2 answers
Does increasing the number of Q functions in Q-Learning scale?
Q-Learning (Watkins, 1989) uses a single function to estimate the value of actions and to choose the next action. Double Q-Learning (Hasselt, 2010) extends this and uses two functions which are updated using different subsets of experience. The…
foreverska
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1 answer
Modern reinforcement learning for video game NPCs
Recently, I have been reading about the 1996 artificial life game 'Creatures'. The game features NPCs called 'Norns' that use reinforcement learning to learn continuously through interactions with the player and their environment. From what I have…
akliyen
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4 answers
Are there real applications of fuzzy logic?
This question covers in detail, what fuzzy logic is and how it relates to other math fields, such as boolean algebra and sets theory.
This question is also very related, but the answers are focused more on general intuition and potential…
Maxim
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1 answer
What makes learned feature detectors specialize in CNN?
It has been shown that it is possible to use unsupervised learning techniques to produce good feature detectors in CNNs. I can't understand what drives specialization of those feature detectors. In publications…
Andrew Butenko
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2 answers
Inconsistency in TD-Leaf algorithm in KnightCap chess engine
Notice that, in the following formula, at the very right, the term multiplied with $\lambda$ is $d_i$
$$
w := w + \alpha \sum_{i=1}^{N-1} \nabla r(x_i^l, w) \Big \lfloor \sum_{j=i}^{N-1} \lambda^{j-i} d_i \Big \rfloor
$$
Note that $i$ is the index…
Shihab Shahriar Khan
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