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1500 questions
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How is the rollout from the MCTS implemented in both of the AlphaGo Zero and the AlphaZero algorithms?
In the vanilla Monte Carlo tree search (MCTS) implementation, the rollout is usually implemented following a uniform random policy, that is, it takes random actions until the game is finished and only then the information gathered is backed up.
I…
ihavenoidea
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What are the differences between Yolo v1 and CenterNet?
I recently read a new paper (late 2019) about a one-shot object detector called CenterNet. Apart from this, I'm using Yolo (V3) one-shot detector, and what surprised me is the close similarity between Yolo V1 and CenterNet.
First, both frameworks…
Louis Lac
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7
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What technologies are needed for a self-driving car?
Google, Tesla or Apple have all built or are building their own self-driving cars. As an expert in a related area, I am interested in knowing at a high level, the systems and techniques that go into self-driving cars.
How easy is it for me to make…
Harsh
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Why do very deep non resnet architectures perform worse compared to shallower ones for the same iteration? Shouldn't they just train slower?
My understanding of the vanishing gradient problem in deep networks is that as backprop progresses through the layers the gradients become small, and thus training progresses slower. I'm having a hard time reconciling this understanding with images…
Intent Filters
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1 answer
How do neural network topologies affect GPU/TPU acceleration?
I was thinking about different neural network topologies for some applications. However, I am not sure how this would affect the efficiency of hardware acceleration using GPU/TPU/some other chip.
If, instead of layers that would be fully connected,…
user2316602
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1 answer
How does the network know which objects to track in the paper "Label-Free Supervision of Neural Networks with Physics and Domain Knowledge"?
I was reading the paper Label-Free Supervision of Neural Networks with Physics and Domain Knowledge, published at AAAI 2017, which won the best paper award.
I understand the math and it makes sense. Consider the first application shown in the paper…
sanjeev mk
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7
votes
1 answer
How do we determine whether a heuristic function is better than another?
I am trying to solve a maze puzzle using the A* algorithm. I am trying to analyze the algorithm based on different applicable heuristic functions.
Currently, I explored the Manhattan and Euclidean distances. Which other heuristic functions are…
m2rik
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7
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2 answers
Why is the generation of deep style images so slow and resource-hungry?
Consider these neural style algorithms which produce some art work:
Neural Doodle
neural-style
Why is generating such images so slow and why does it take huge amounts of memory? Isn't there any method of optimizing the algorithm?
What is the…
kenorb
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7
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2 answers
Which neural network has capabilities of sorting input?
I believe normally you can use genetic programming for sorting, however I'd like to check whether it's possible using ANN.
Given the unsorted text data from input, which neural network is suitable for doing sorting tasks?
kenorb
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7
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5 answers
How can action recognition be achieved?
For example, I would like to train my neural network to recognize the type of actions (e.g. in commercial movies or some real-life videos), so I can "ask" my network in which video or movie (and at what frames) somebody was driving a car, kissing,…
kenorb
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7
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2 answers
How would an AI learn idiomatic phrases in a natural language?
After an AI goes through the process described in How would an AI learn language?, an AI knows the grammar of a language through the process of grammar induction. They can speak the language, but they have learned formal grammar. But most…
Marvin
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6 answers
Is randomness anti-logical?
I came across a comment recently "reads like sentences strung together with no logic." But is this even possible?
Sentences can be strung together randomly if the selection process is random. (Random sentences in a random sequence.) Stochasticity…
DukeZhou
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7
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1 answer
What is the best measure for detecting overfitting?
I wanted to ask about the methodology of testing the ML models against overfitting. Please note that I don't mean any overfitting reducing methods like regularisation, just a measure to judge whether a model has overfitting problems.
I am currently…
GKozinski
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2 answers
Was the corruption of Microsoft's "Tay" chatbot an example of catastrophic forgetting?
Tay was a chatbot, who learned from Twitter users.
Microsoft's AI fam from the internet that's got zero chill. The more you talk the smarter Tay gets. — Twitter tagline.
Microsoft trained the AI to have a basic ability to communicate, and taught…
wizzwizz4
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What are options in reinforcement learning?
According to a lecture (week 10) about Reinforcement Learning [1], the concept of an option allows searching the state space of an agent much faster. The lecture was hard to follow because many new terms were introduced in a short time. For me, the…
user11571