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1500 questions
25
votes
3 answers
How do I choose the optimal batch size?
Batch size is a term used in machine learning and refers to the number of training examples utilised in one iteration. The batch size
can be one of three options:
batch mode: where the batch size is equal to the total dataset thus making the…
Sebastian Nielsen
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25
votes
8 answers
What is artificial intelligence?
What is the definition of artificial intelligence?
Rana Wasif
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25
votes
3 answers
How do I handle large images when training a CNN?
Suppose that I have 10K images of sizes $2400 \times 2400$ to train a CNN.
How do I handle such large image sizes without downsampling?
Here are a few more specific questions.
Are there any techniques to handle such large images which are to be…
WaterRocket8236
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25
votes
4 answers
How does ChatGPT know math?
ChatGPT is a language model. As far as I know and If I'm not wrong, it gets text as tokens and word embeddings. So, how can it do math? For example, I asked:
ME: Which one is bigger 5 or 9.
ChatGPT: In this case, 9 is larger than 5.
One can say,…
Peyman
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25
votes
4 answers
How could emotional intelligence be implemented?
I've seen emotional intelligence defined as the capacity to be aware of, control, and express one's emotions, and to handle interpersonal relationships judiciously and empathetically.
What are some strategies for artificial intelligence to begin…
WilliamKF
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25
votes
3 answers
Why do most deep learning papers not include an implementation?
I'm a novice researcher, and as I started to read papers in the area of deep learning I noticed that the implementation is normally not added and is needed to be searched elsewhere, and my question is how come that's the case? The paper's authors…
Gilad Deutsch
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25
votes
5 answers
What is non-Euclidean data?
What is non-Euclidean data?
Here are some sub-questions
Where does this type of data arise? I have come across this term in the context of geometric deep learning and graph neural networks.
Apparently, graphs and manifolds are non-Euclidean data.…
nbro
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25
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2 answers
What is the difference between First-Visit Monte-Carlo and Every-Visit Monte-Carlo Policy Evaluation?
I came across these 2 algorithms, but I cannot understand the difference between these 2, both in terms of implementation as well as intuitionally.
So, what difference does the second point in both the slides refer to?
user9947
24
votes
3 answers
How to choose an activation function for the hidden layers?
I choose the activation function for the output layer depending on the output that I need and the properties of the activation function that I know. For example, I choose the sigmoid function when I'm dealing with probabilities, a ReLU when I'm…
gvgramazio
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24
votes
5 answers
Why does ChatGPT fail in playing "20 questions"?
IBM Watson's success in playing "Jeopardy!" was a landmark in the history of artificial intelligence. In the seemingly simpler game of "Twenty questions" where player B has to guess a word that player A thinks of by asking questions to be answered…
Hans-Peter Stricker
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24
votes
5 answers
Why does Batch Normalization work?
Adding BatchNorm layers improves training time and makes the whole deep model more stable. That's an experimental fact that is widely used in machine learning practice.
My question is - why does it work?
The original (2015) paper motivated the…
Kostya
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24
votes
2 answers
Are there any ongoing projects which use the Stack Exchange for machine learning?
Are there any ongoing AI projects which use the Stack Exchange for machine learning?
Techidiot
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24
votes
3 answers
Why can't OCR be perceived as a good example of AI?
On the Wikipedia page about AI, we can read:
Optical character recognition is no longer perceived as an exemplar of "artificial intelligence" having become a routine technology.
On the other hand, the MNIST database of handwritten digits is…
kenorb
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24
votes
1 answer
When should I use Reinforcement Learning vs PID Control?
When designing solutions to problems such as the Lunar Lander on OpenAIGym, Reinforcement Learning is a tempting means of giving the agent adequate action control so as to successfully land.
But what are the instances in which control system…
SeeDerekEngineer
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24
votes
2 answers
What is the difference between reinforcement learning and optimal control?
Coming from a process (optimal) control background, I have begun studying the field of deep reinforcement learning.
Sutton & Barto (2015) state that
particularly important (to the writing of the text) have been the contributions establishing and…
Bionic Buffulo
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