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2
votes
0answers
18 views

Distance between pointers in Stochastic Universal Sampling (SUS)

I'm studying about different selection methods in genetic algorithm. My question is about Stochastic Universal Sampling (SUS) selection method. I know that each individual will occupy a segment of the ...
3
votes
2answers
66 views

Detecting Sine Waves with a Neural Network?

I am recording the vibrations of an AC Motor (50Hz Europe) and I am trying to find out whether it is powered on or not. When I record these vibrations, I basically get the vibration values (-1 to +1) ...
0
votes
0answers
52 views

How to develop face recongiton program using CNN to obtain more than 95% accuracy? [closed]

I want to develop face recognition program using convolutional neural network. Can some one tell me steps to follow to do the same? I am new to deep learning. I want to develop it on windows using ...
1
vote
0answers
7 views

How mAP is unfair evaluation metric for Object Detection?

The following figure is from the last page in YOLOv3 paper highlighting how mAP is unfair metric for evaluating Object Detectors: The figure shows two hypothetical Object Detector results which the ...
0
votes
1answer
50 views

Model-based Reinforcement Learning algorithm for real-time robotics task

I'm quite a newbie when it comes to practically working with Deep Learning techniques, although I studied them quite a lot theoretically in the last months. However, now I'm facing my first practical ...
0
votes
0answers
7 views

Multiple digits classifier using MobileNetV1

I want to train a model to be able to classify 16 number of digits in image, the numbers of digits are constants. So I create my dataset like these images (Print random 16 number with different font ...
1
vote
1answer
98 views

Why don't people attack autonomous trains?

From self-driving cars, it's a well known fact that the public doesn't like the technology. According to an article in the New York Times, the Waymo car was attacked many times by angry humans who don'...
0
votes
1answer
57 views

Neural Network to estimate distance

I built a three layer neural network (first is 1D Convolutional and the remaining two are Linear). It takes an input of 5 angles in radians, and outputs two numbers from 0 to 1, which are respectively ...
2
votes
1answer
34 views

What is the difference between a semantic network and an ontology?

I am not getting exactly the difference between semantic networks and ontology. I do not find a proper article explaining about ontology in the semantic network. According to me, I think that the ...
0
votes
0answers
7 views

How does keras `train_on_batch` return value work?

From the doc, train_on_batch() will return a scalar representing the loss and the metric. I want to know whether the loss/metric is evaluated before the weight is ...
-1
votes
0answers
36 views

who built the great pyramids in Egypt? [closed]

There is some disagreement on the age of the pyramids of egypt. How old are the pyramids
2
votes
1answer
40 views

How can I teach a computer to play N64 games using Neural Nets?

I would like to work on a project where I teach an NN to play N64 games. To my current understanding, I would need an emulator? I can do the Machine Learning side of it, im just unsure how I can ...
1
vote
1answer
23 views

Is the “symbol grounding” problem about building a physics engine?

In the past, most reinforcement learning agents were developed to solve existing domains. At first, a game was given, for example the snake game, and after a bit of training, the neural network was ...
2
votes
1answer
51 views

What are examples of thought experiments against or in favour of strong AI, apart from the Chinese room argument?

The Chinese Room argument against strong AI overlooks the fact that "the man in the room" is acting as a macro-scale "neurotransmitter" of the larger system in which he resides. It does not rule out ...
1
vote
1answer
25 views

How to use a deep learning network on new data-set?

I am trying to use a network for classification. This network works very well on the author's example data, but doesn't work on new data. Currently, I am using the popular EEG Motor Movement/Imagery ...
0
votes
1answer
68 views

Indoor positioning with variable number of distance measurements in tensorflow

Currently I have a setup where I'm determining the position of a transmitter using the RSSI of 4 receivers. Its a simple feed-forward network with some hidden layers, where the input is the RSSI ...
0
votes
0answers
43 views

Can AI improve the online casino experience?

I read this German article and was wondering if there was any truth in it? Wie kann die KI das Casino-Erlebnis verbessern? (How can AI improve the casino experience?) Is this article accurate and ...
0
votes
1answer
34 views

How to write a “Turing test” in python

What a Turing test is, is widespread known among computer experts. It's some kind of game, which can be attended by a human or a computer program. If a computer program is able to pass the game, the ...
1
vote
0answers
10 views

tf.data.Dataset: method argument of from_tensor_slices(tensors) unclear [closed]

I'm new to tensorflow and I am working through the Titanic tutorial of Tensorflow 2.0. In this tutorial at some point they create a dataset by applying ...
1
vote
0answers
15 views

Getting score values from openai gym rom

I am using the SpaceInvaders-ram-v0 from OpenAI gym. I want to extract the game's current score using the RAM values. How do I get it? I tried doing some research ...
3
votes
0answers
40 views

Sampling in TRPO or PPO

In the TRPO paper, the objective to maximize is (equation 14) $$ \mathbb{E}_{s\sim\rho_{\theta_\text{old}},a\sim q}\left[\frac{\pi_\theta(a|s)}{q(a|s)} Q_{\theta_\text{old}}(s,a) \right] $$ which ...
1
vote
1answer
31 views

Can A.I/Deep Learning use one image as content for another image?

Is it possible for A.I to redraw an image in a new context? More specifically, suppose I take a photo of a notebook. I get the angle, lighting and perspective perfect. Now I copy an image I found ...
3
votes
3answers
145 views

Can Artificial Intelligence be utilized for religious needs?

Artificial Intelligence is often utilized to increase the productivity. A typical example is a pick&place robot arm who helps a company to reduce the costs. The idea is, that the robotarm works ...
2
votes
0answers
22 views

Is there a way to do reinforcement learning in POMDP?

Are there any algorithms to use reinforcement learning to learn optimal policies in partially observable Markov decision process (POMDP) i.e. when the state is not perfectly observed. More ...
7
votes
0answers
78 views

Will quantum computing have any kind of effect on the development of AI?

Recently, according to some reports Google achieved something called 'Quantum Supremacy'. Whether its true or not remains to be seen. But my question is does Quantum Computers or the principle they ...
2
votes
1answer
40 views

Why is awareness of itself such a point when speaking about AI?

Why is awareness of itself such a point when speaking about AI? Does it always mean a starting point for apocalyptic nightmares to occur when such a level is reached or is it just a classical example ...
3
votes
0answers
44 views

Are there datasets to solve differential equations in a supervised fashion?

Are there datasets to solve differential equations in a supervised fashion? More precisely, the input is a differential equation and the label should be the general solution to that differential ...
4
votes
2answers
61 views

What is the benefit of using identity mapping layers in deep neural networks like ResNet?

As I understand Resnet has some identity mapping layers that their task is to create the output as the same as the input of the layer. the resnet solved the problem of accuracy degrading. But what is ...
0
votes
0answers
6 views

Why word embedding such as word2vec is not used as the output layer of a seq2seq decoder?

It would make sense to make the decoder predict a smaller embedding vector instead of softmax over a large dictionary. The word having the most cosine similarity with the output embedding could be ...
0
votes
0answers
12 views

Choosing best combinations from all possible combination expressions based few variables, unary operators, binary operators

I have a few financial variables of a stock universe like OHLC prices, volume, and other fundamentals with varying time-frequency. Using this set I'm creating an expression that gives the weights to ...
4
votes
1answer
43 views

What are examples of optimization problems that can be solved using a genetic algorithm?

I'm trying to learn how a genetic algorithm can solve optimization problems. I have already learned how a genetic algorithm can solve knapsack, TSP and set cover problems. I'm looking for some other ...
5
votes
1answer
57 views

What are the real-life applications of Transfer Learning in Machine Learning?

What are the real-life applications of Transfer Learning in Machine Learning? I am particularly interested in industrial applications of the concept.
31
votes
21answers
10k views

Can digital computers understand infinity?

As a human being, we can think infinity. In principle, if we have enough resources (time etc.), we can count infinitely many things (including abstract, like numbers, or real). For example, at least, ...
1
vote
1answer
40 views

“Outside-in” versus “Inside-out” machine learning

A little background... I’ve been on-and-off learning about data science for around a year or so, however, I started thinking about artificial intelligence a few years ago. I have a cursory ...
0
votes
0answers
24 views

Does Sparkling Water support H2O4GPU?

H2O's Sparkling Water provides the ability to combine H2O's machine learning algorithms with Spark. As far as I understand support is for version 3 of H2O. I want to build a cluster of computers ...
1
vote
1answer
29 views

Can reinforcement learning be utilized for creating a simulation?

According to the definition, the AI agent has to play a game by it's own. A typical domain is the blocksworld problem. The AI determines which action the robot in a game should execute and a possible ...
0
votes
0answers
15 views

Computing layers dimensions for deep learning architectures

I have already a few projects in deep learning under my belt. However, there is one fundamental thing that has come to my mind recently while trying to implement my own architecture. Looking at the ...
0
votes
1answer
43 views

TF Keras: How to turn this probability-based classifier into single-output-neuron label-based classifier

Here's a simple image classifier implemented in TensorFlow Keras (right click to open in new tab): https://colab.research.google.com/github/tensorflow/docs/blob/master/site/en/tutorials/quickstart/...
3
votes
1answer
49 views

Should AI be mortal by design?

There are the 3 Asimov’s laws: A robot may not injure a human being or, through inaction, allow a human being to come to harm. A robot must obey orders given to it by human beings, except where such ...
2
votes
0answers
34 views

Should awareness of the existence of the AI designer be embedded in the AI consciousness?

Should awareness of the existence of the AI designer be embedded in the AI consciousness itself?
2
votes
1answer
55 views

Why does an LSTM cycle on initialisation?

I initialised an LSTM with Xavier initialisation, although I've found this occurs for all initialisations I have tested. When initialised, if the LSTM is tested with a random input, it will get stuck ...
1
vote
2answers
30 views

Does it matter if it's a bot or a human generating text? Doesn't it come down to the content?

It was noted today that automated text generation is advancing at a rapid pace, potentially accelerating. As bots become more and more capable of passing turing tests, especially in single iterations,...
0
votes
0answers
21 views

What is the state of the art AI training technique for imperfect information 2 player turn based games?

As far as I can tell (correct me if I'm wrong), Alphazero (with MCTS and neural network heuristic function RL) is the state of the art training method for turn based, deterministic, perfect ...
1
vote
1answer
39 views

What is the difference between the definition of a stationary policy in reinforcement learning and contextual bandit?

A stationary policy is a function that maps a state to a probability distribution of actions. In a contextual bandit problem, a state itself does not include the history. But in a reinforcement ...
1
vote
0answers
16 views

How to train a transformer text to text model on counterexamples?

Is it possible to update the weights of a vanilla transformer model using counterexamples alongside examples? For example, from the PAWS data set, given the phrases "Although interchangeable, the ...
1
vote
0answers
15 views

Trying to separate spiral data with neural network, learning tensorflow

I am learning how to use tensorflow without keras, just to make sure I understand tensorflow directly. I created a spiral-looking datasets with 100 points of each class (200 total), and I created a ...
0
votes
0answers
14 views

How to recognize two different objects with the similar shape, but different size

I am using Mask-RCNN neural network. I retrained my network to detect and mask wheels of die-cast toy cars. I am using images, which present the side of the car (left or right). Sometimes the cars ...
1
vote
0answers
7 views

Looking or the simplest framework to train keypoint detector

I currently use an object detector to detect an object and specific parts of it (a crop and its stem). Such detector is not the best choice for detecting parts that could be represented by a point (...
0
votes
0answers
22 views

How to calculate covariance matrix of the mini-batch in the k-th layer using Python?

I am a beginner in Python. I want to calculate the covariance matrix of a mini-batch in a given hidden layer.
6
votes
1answer
28 views

Can two admissable heuristics not dominate each other?

I am working on a project for my artificial intelligence class. I was wondering if I have 2 admissible heuristics, A and B, is it possible that A does not dominate B and B does not dominate A? I am ...

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