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Questions tagged [machine-learning]

For questions about machine learning (ml) and the related concepts with respect to AI.

3
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1answer
16 views

How does Hearthstone AI deal with random events

I want to learn a lot about the AI of CCG, such as Hearthstone. And now I have known one of the main algorithms that used in this kind of games, MCTS. It analyses the most promising moves, and expands ...
3
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2answers
47 views

How to use AI to depth map video?

To be honest, I had no idea where to put this question, but it's sure that it's related to AI. I want to build an application which uses camera, and by the movement it can calculate the -camera's ...
4
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1answer
89 views

Paradigm shift in Machine Learning

This is a very general question, so I do not expect any specific answer. I was reading some Tweets about NeurIPS 2018, and came upon this video from NVIDIA. At around 0.37, she says: ... If you ...
0
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1answer
24 views

How to get a binary output from a Siamese Neural Network

I'm trying to train a Siamese network to check if two images are similar. My implementation is based on this. I find the Euclidian distance of the feature vectors(the final flattened layer of my CNN) ...
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0answers
40 views

Implementing AI/ML for the card game “Cheat”

Background info In Python, I've implemented a rudimentary engine to play "Cheat", supporting both bots and a human or only bots. When only bots are playing, the game is simulated. When placing cards,...
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2answers
27 views

Keras giving memory allocation error and running extremely slow

I am working on character recognition using convolutional neural networks. I have 9 layer model and 19990 training data and 4470 test data. But when I am using keras with Tensorflow backend. When I ...
2
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2answers
56 views

Can Machine Learning be applied to decipher the script of lost ancient languages?

Can Machine Learning be applied to decipher the script of lost ancient languages? (Languages that many years ago were being used, but currently are not used in the human societies and have been ...
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0answers
6 views

How to solve the AttributeError: 'Ssd' object has no attribute 'freeze_batchnorm'

I use a modified training script for modeling images with Tensorflow/Keras/Mobilenet_V2. After a few errors that I could solve I now get the following error: ...
0
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2answers
80 views

How to start learning Machine Learning? [on hold]

Help me to understand AI. I m gonna start studying AI.. Please guide me to learn AI and implement the AI concepts!
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0answers
11 views

Can you train a deep recurrent neural network layer by layer?

Specifically for Gated Recurrent Unit, and say GRU is "layered" via but suppose it's only 2 layers deep for simplicity, and suppose the "total loss" = $L$ = $\sum l_{t} = \sum error(y^{2}_{t})$ for ...
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0answers
22 views

Attention mechanism

I'm having problems implementing Bahdanau attention mechanism in a custom seq2seq (encoder-decoder) architecture. So far I reached this point: ...
1
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1answer
21 views

Active Learning and RNN

We have a series of data which want to label part of each series. As we do not have any training data, we try using Active Learning as a solution. But, the problem is our classifier is something like ...
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0answers
23 views

Reinforcement learning: How to combine action and magnitude within a single model?

Say for example you're training an AI-controlled bot (using a Markov Decision Process and a DQN) to clear a basic obstacle course; some obstacles you have to run over, some jump, sit, some squat etc, ...
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0answers
3 views

What is the difference between set of transition samples D and pattern set P in algorithm implementation of NFQ?

Neural Fitted Q iteration Algorithm : What is the difference between the set of transition samples D and pattern set P in algorithm implementation of NFQ in Paper "Neural Fitted Q Iteration - First ...
1
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1answer
39 views

Why do we need both encoder and decoder in sequence to sequence prediction?

Why not just have single RNN/LSTM that given input x outputs some value y(t) and later uses that value and the RNN hidden state to produce the next output? The architecture shall consists of only one ...
0
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2answers
90 views

Why studying machine learning is an opportunity in today's world?

I just wanted to gather some perspective on why this is a great opportunity to be able to study machine learning today? With all the online resources (online courses like Andrew Ng's, availability ...
3
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1answer
55 views

are there any Machine Learning algorithms for comparing files

So, in situations where some output-data-chunks could change without changing the input data from time to time, it could be challenging to automate the testing process. My question is, are there any ...
2
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2answers
60 views

What problems in AI are not machine learning?

What problems of AI are not machine learning? What is difference between AI and machine learning? Which problems handle both AI and machine learning?
1
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1answer
33 views

Genetic Algorithm vs Particle Swarm Optimization

Which one gives better optimization results? Genetic Algorithm or Particle Swarm Optimization? Can I use them for online tuning problems? Thanks in advance!
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0answers
14 views

Best machine learning method for system identification

I am currently developing a machine learning for system identification Overall, the steps are: Collecting data from a plant (non-linear plant) Train the ML model to replicate the system The model ...
1
vote
1answer
56 views

possible to train some model to recognize trash?

I want to build a semi autonomous robot/machine that will clean up trash in cities. For this to be possible it needs to recognize 'trash'. As trash can be all sorts of things (think ciggaret buts, ...
1
vote
1answer
20 views

Steps for final Logistic Regression Modal

I am new for machine learning and I am tried to understand basic steps to get final modal of Logistic Regression. I know Logistic Regression is supervisory learning technique. Therefore we want to ...
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1answer
10 views

Is there a relationship between the response and predictors?

I have been reading introduction to statistical learning and I was going through Multiple Linear Regression. This is the topic that Im reading As i was reading further I encountered an equation that ...
4
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1answer
28 views

Does research into driver-less cars cause ethical problems?

I'm doing an EPQ (Extended-Project Qualification) on Artificial Intelligence Bias, and would like to gather some primary data for analysis. Do driver-less cars lead into controversies that are to do ...
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0answers
16 views

How to use AI to generate similar questions from a base question?

I am looking for methods/techniques I can use to generate a set of similar questions based on a base question. The generated questions should be answered by the exact same answer to the base question. ...
2
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1answer
35 views

Understanding the math behind using maximum likelihood for linear regression

I understand both terms, linear regression and maximum likelihood, but, when it comes to the math, I am totally lost. So I am reading this article The Principle of Maximum Likelihood (by Suriyadeepan ...
3
votes
1answer
33 views

Does an advanced Dialogue state tracking eliminate the need of intent classifier and slot filling models in dialogue systems/ chatbots?

I am learning to create a dialogue system. The various parts of such a system are Intent classifier, slot filling, Dialogue state tracking (DST), dialogue policy optimization and NLG. While reading ...
3
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0answers
50 views

Scrabble game using machine learning

I've been thinking if machine learning can be used to play the game Scrabble. My knowledge is limited in the ML field, thus I've seeking some pointers :) I want to know how could I possibly build a ...
1
vote
1answer
40 views

Most efficient neural network for human activity recognition

A paper from machinelearningmastery.com on human activity recognition states that 1D convolutional neural networks work the best on classification of human activities using data from accelometer. But, ...
0
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1answer
20 views

What are some limitations of using Collaborative Deep learning for Recommender systems?

Recently I worked on a paper by Hao Wang- Collaborative Deep learning for Recommender Systems which uses a two way tightly coupled method, Collaborative filtering for Item correlation and Stacked ...
2
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3answers
84 views

Is an algorithm that is no longer actively learning an AI?

This question assumes a definition of AI based on machine learning, and was inspired by this fun Technology Review post: SOURCE: Is this AI? We drew you a flowchart to work it out (Karen Hao, MIT ...
2
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0answers
35 views

What kind of distributions can be used to model discrete latent variables?

If we take the vanilla variational auto-encoder (VAE), we $p(z)$ is a Gaussian distribution with zero mean and unit variance and we approximate $p(z|x) \approx q(z|x)$ to be a Gaussian distribution as ...
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2answers
92 views

Which AI tool for food recognition?

I'm working in a company that opens restaurants in enterprises. Every day at lunch, we want our clients to be able to scan their trays, sothat the food is detected automatically thanks to AI / image ...
0
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0answers
42 views

Q-Learning fails to converge even after 50K iterations for a simple board game - What could be the reason for this?

To get a feel of the model-free reinforcement learning, I tried to implement Q-learning for a simple 10 X 10 game board having 4 possible actions where the agent could move either North, East, South, ...
2
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0answers
9 views

Is Hebbian learning the progenitor of AI?

Hebb's postulate attempts to explain associative learning via the processes of sampling (using sensors), emitting responses and receiving feedback. This is a form of control orientated architecture ...
0
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0answers
9 views

Chosing from wide range of methods for Imputing Data

Every time I work onto various data-sets and into handling missing values for the data, a bunch of approach strikes me. How to proceed in such situation? Is there collaborative approach or ...
5
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5answers
179 views

Where can I discuss with deep learning beginners?

I did some self-study to learn Neural network, object detection, and deep learning. Now I started implementing YOLOv3. I am looking for some website that I can communicate with people and make friends ...
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0answers
5 views

Suitable reformulation of feature vector wherein the dimensions mismatch (one of them is a matrix and the other a repeated vector)

I have a set of $N=5000$ matrices of $\mathbb{R}^{64\times 64}$, whose entries are drawn from $x \in \{0,0.5,1\}$. We can visualise Matrix $M_1$ as Corresponding to this matrix $M_1$ and a vector ...
0
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2answers
39 views

Can the value of a cost function be negative?

I'm new to machine learning and I was watching a video about gradient descent.It said that we want our cost function(Mean squared error) to have the minimum value but that minimum value shown in the ...
0
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0answers
13 views

How to decide on including a variable in the agent's state?

I have built a simple model for energy consumption in a building. The inputs to the model are the outside temperature, relative humidity, solar irradiation value and a temperature control value that ...
0
votes
1answer
23 views

Doubts at basic step of learning problem

Question: Express each of the following tasks in the framework of learning from data by specifying the input space X, output space Y, target function f:X->Y and the specifics of the data set that we ...
3
votes
4answers
178 views

What is the actual learning algorithm: back-propagation or gradient descent?

What is the actual learning algorithm: back-propagation or gradient descent (or, in general, the optimization algorithm)? I am reading through chapter 8 of Parallel Distributed Processing hand book ...
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0answers
17 views

Train a recurrent neural network by concatenating time series. Is it safe?

As the title says, I want to train a Jordan network (i.e. a particular kind of recurrent neural network) using a certain number of time series. Let's say that $x_1, x_2, \ldots x_N$ are $N$ input ...
0
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0answers
23 views

Is Mobilenet_V2 trained on the COCO dataset or on the ILSVRC-2012-CLS dataset better for classifying objects in aerial data? [migrated]

I would like to use a pretrained CNN Mobilenet_V2 for classifying objects in aerial data. Is Mobilenet_V2 trained on the COCO dataset suitable for classifying objects from aerial images or are there ...
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3answers
93 views

How are artificial neural networks different from normal computers?

I have been given this question that how neural networks are different from normal computers? But after searching alot i still couldnt get the best reason on it which makes my point clear, so how ...
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0answers
19 views

What are intelligent agents and how they are use in artificial intelligence?

How we will describe intelligent agents in artificial intelligence and their use in artificial intelligence field?
0
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1answer
38 views

Are artificial intelligence learnings or trainings transferable from one agent to the other?

One disadvantage or weakness of Artificial Intelligence today the slow nature of learning or training success. For instance, an AI agent might require a 100,000 samples or more to reach an appreciable ...
2
votes
1answer
84 views

Significance of depth of a deep neural network

How is a feed-forward neural network with few hidden layers and lots of nodes in those hidden layers different from a network with a lot of hidden layers but relatively lesser nodes in those hidden ...
1
vote
1answer
19 views

Way to control movement and coverage in an embedded AI cleaning system?

There's the need to design a horizontal plane cleaning system that is controlled by positioning servos. Two in two of three floor rollers and three in the x, y, and z positioning of a wiping device. ...
3
votes
3answers
149 views

Point A to B Avoidance

I understand A* and Dijkstra for avoiding obstacles, they require that points are traversable there are points that are not traversable thus the algorithms wont bump into the obstacles because the ...