Most Popular
1500 questions
18
votes
2 answers
What research has been done in the domain of "identifying sarcasm in text"?
Identifying sarcasm is considered one of the most difficult open-ended problems in the domain of ML and NLP/NLU.
So, was there any considerable research done on that front? If yes, then what is the accuracy like? Please, also, explain the NLP model…
Dawny33
- 1,371
- 13
- 29
18
votes
1 answer
Are these two versions of back-propagation equivalent?
Just for fun, I am trying to develop a neural network.
Now, for backpropagation I saw two techniques.
The first one is used here and in many other places too.
What it does is:
It computes the error for each output neuron.
It backpropagates it into…
Aspie96
- 181
- 4
18
votes
2 answers
How do I decide the optimal number of layers for a neural network?
How do I decide the optimal number of layers for a neural network (feedforward or recurrent)?
v01d
- 283
- 2
- 6
18
votes
1 answer
Could a Boltzmann machine store more patterns than a Hopfield net?
This is from a closed beta for AI, with this question being posted by user number 47. All credit to them.
According to Wikipedia,
Boltzmann machines can be seen as the stochastic, generative counterpart of Hopfield nets.
Both are recurrent…
Mithical
- 2,905
- 5
- 27
- 39
18
votes
2 answers
How does novelty search work?
In this article, the author claims that guiding evolution by novelty alone (without explicit goals) can solve problems even better than using explicit goals. In other words, using a novelty measure as a fitness function for a genetic algorithm works…
rcpinto
- 2,119
- 1
- 16
- 31
18
votes
3 answers
Which explainable artificial intelligence techniques are there?
Explainable artificial intelligence (XAI) is concerned with the development of techniques that can enhance the interpretability, accountability, and transparency of artificial intelligence and, in particular, machine learning algorithms and models,…
nbro
- 40,472
- 12
- 105
- 192
18
votes
3 answers
What is geometric deep learning?
What is geometric deep learning (GDL)?
Here are a few sub-questions
How is it different from deep learning?
Why do we need GDL?
What are some applications of GDL?
nbro
- 40,472
- 12
- 105
- 192
18
votes
1 answer
How to deal with a huge action space, where, at every step, there is a variable number of legal actions?
I am working on creating an RL-based AI for a certain board game. Just as a general overview of the game so that you understand what it's all about: It's a discrete turn-based game with a board of size $n \times n$ ($n$ depending on the number of…
ytolochko
- 365
- 2
- 6
17
votes
1 answer
Are search engines considered AI?
Are search engines considered AI because of the way they analyze what you search for and remember it? Or how they send you ads of what you've searched for recently?
Is this considered AI or just smart?
baranskistad
- 429
- 4
- 17
17
votes
4 answers
Why does the discount rate in the REINFORCE algorithm appear twice?
I was reading the book Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto (complete draft, November 5, 2017).
On page 271, the pseudo-code for the episodic Monte-Carlo Policy-Gradient Method is presented. Looking at…
Diego Orellana
- 363
- 2
- 10
17
votes
1 answer
Why does DQN require two different networks?
I was going through this implementation of DQN and I see that on line 124 and 125 two different Q networks have been initialized. From my understanding, I think one network predicts the appropriate action and the second network predicts the target Q…
amitection
- 307
- 2
- 6
17
votes
1 answer
How can policy gradients be applied in the case of multiple continuous actions?
Trusted Region Policy Optimization (TRPO) and Proximal Policy Optimization (PPO) are two cutting edge policy gradients algorithms.
When using a single continuous action, normally, you would use some probability distribution (for example, Gaussian)…
Evalds Urtans
- 377
- 3
- 9
17
votes
4 answers
How to reinvent jobs replaced by AI?
In general, what possibilities are there for reinventing job descriptions that could be replaced by an automated AI solution?
My initial ideas include:
Monitoring the AI and flagging its incorrect actions.
Possibly taking over the control in very…
tuomastik
- 221
- 2
- 10
17
votes
4 answers
1 hidden layer with 1000 neurons vs. 10 hidden layers with 100 neurons
These types of questions may be problem-dependent, but I have tried to find research that addresses the question whether the number of hidden layers and their size (number of neurons in each layer) really matter or not.
So my question is, does it…
Stephen Johnson
- 999
- 2
- 8
- 10
17
votes
2 answers
When is deep learning overkill?
For example, for classifying emails as spam, is it worthwhile - from a time/accuracy perspective - to apply deep learning (if possible) instead of another machine learning algorithm? Will deep learning make other machine learning algorithms like…
Alexander
- 293
- 1
- 8