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1500 questions
5
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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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5
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2 answers
Are the model implementations in Hugging Face’s transformers library created by the original model authors or by Hugging Face?
I've been exploring the implementation of models like Llama in Hugging Face’s transformers library, for example:
Hugging Face's Llama model implementation.
I’m curious about how these implementations work:
Are the model codes in Hugging Face’s…
mlibre
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5
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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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5
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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
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1 answer
How have robots developed and how sophisticated might they be in the future?
We all know how robots are getting more and sophisticated and more interesting
What is the future of robotics in relation to AI, how and how will AI work with robotics in improving to affect our world in a positive way.
Bhoat
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5
votes
1 answer
Why do LLM tokenizers use a special symbol for space such as Ġ in BPE or ▁ in SPM?
Popular tokenizers use a special symbol such as "Ġ" (BPE) or "▁" (SentencePiece) to represent space. What is the reasoning behind this?
I did try searching for the answer. I got two types of explanations, but they don't explain anything to me.
Some…
Borislav Stanimirov
- 153
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5
votes
3 answers
Would convolutional NN recognize patterns in encoded images?
I have a set of images that I already trained a CNN to classify successfully. I wonder if it would be possible to encode the images (using XOR in combination with a key of the same length as the image) and train a new net on them.
Thinking…
Filip Dziuba
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5
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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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5
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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…
user79662
5
votes
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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5
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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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5
votes
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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2 answers
What is a beam?
For example, faster-whisper's transcribe function takes an argument
beam_size: Beam size to use for decoding.
What does "beam" mean?
Geremia
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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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5
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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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