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Questions tagged [machine-learning]

For questions related to machine learning (ML), which is a set of methods that can automatically detect patterns in data, and then use the uncovered patterns to predict future data, or to perform other kinds of decision making under uncertainty (such as planning how to collect more data). ML is usually divided into supervised, unsupervised and reinforcement learning. Deep learning is a subfield of ML that uses deep artificial neural networks.

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0answers
15 views

How do I recover the 3D structure of a layer after a fully-connected layer?

I want to implement a CNN, but I want to explore what happens when my first layer is a fully-connected one. I still want to use convolutions, of course, but I want to apply them after the first layer. ...
2
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3answers
76 views

One vs multiple output neurons

Consider an MLP that outputs an integer 'rating' of 0 to 4. Would it be correct to say this could be modeled in either of the following ways: map each rating in the dataset to a 'normalized set' ...
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1answer
37 views

Preparation of input data

Tell me why my val_acc is always the same and how to solve this problem? I saw several topics on the Internet specifically on this problem but they did not help me (for example, use SGD with different ...
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1answer
15 views

When a linear discriminant could give excellent or possibly even the optimal classification accurcy?

I am actually reading the linear classification. There is a question in the question set behind the chapter in the book as follows: Sketch two multimodal distributions for which a linear discriminant ...
4
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2answers
108 views

Is it possible to teach an AI to edit video content?

Every week I will get a lot of videos from a game that I play, outside the game where you throw wooden skittle bats at skittles, and then I will cut videos, so that, at the end. there is video only ...
2
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1answer
46 views

How to evaluate an RL algorithm when used in a game?

Very new to the world of ML and looking for some pointers. I'm planning to create a web-based RL board game and wondered how I would evaluate the performance of the RL part of the application? How ...
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17 views

Can i feed 1 image into a caffe model to fine tune it?

We have a caffe model that classifies NSFW images and gives a score from 0 to 1. Sometimes non-nsfw images are classified with a high score. I am thinking if it is possible to feed those images to the ...
5
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3answers
93 views

Preventing bias by not providing irrelevant data

This seems like such a simple idea, but I've never heard anyone that has addressed it, and a quick Google revealed nothing, so here it goes. The way I learned about machine learning is that it ...
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0answers
14 views

What is interval of the initial weights at Matlab neural network tool?

What is interval of the initial weights at Matlab neural network tool?Yes I know it is randomly but are there limitation?
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10 views

A NN based model of a Cattle for 'Heat Detection'

I am very new to AI/ML but have lot of interest in these. I am trying to understand how this gadget works. So far I have understood that a NN model of the cattle is generated by offline ...
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1answer
24 views

Clarifying when a loss/cost function calculation and backprop take place

I read different articles and keep getting confused on this point. Not sure if the literature is giving mixed information or I'm interpreting it incorrectly. So from reading articles my ...
3
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1answer
88 views

Applications of AI for creatives and artists

I have just watched a few videos on Tedtalks talking about how AI benefits creatives and artists but none of the videos I watched provided further resources for reference. So far, I have only came ...
2
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1answer
54 views

Why is the entire area of a join probability distribution considered when it comes to calculating misclassification?

In the image given below, I do not understand a few things 1) Why is an entire area colored to signify misclassification? For the given decision boundary, only the points between $x_0$ and the ...
1
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1answer
25 views

What is the difference between multi-agent and multi-modal systems?

The Wikipedia definitions are as follows Multi-agent systems - A multi-agent system is a computerized system composed of multiple interacting intelligent agents. Multi-modal interaction - Multimodal ...
2
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0answers
15 views

Reverse engineering controller sensitivity/aim for several games ie acceleration curves, deadzones, etc

A machine learning project I am working on requires me to interface with an Xbox controller connected to a PC. The implementation must do the following two things: Record the joystick input from the ...
3
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1answer
65 views

Backpropagation equation for a variant on the usual Linear Neuron architecture

Recently I encountered a variant on the normal linear neural layer architecture: Instead of $Z = XW + B$, we now have $Z = (X-A)W + B$. So we have a 'pre-bias' $A$ that affects the activation of the ...
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0answers
16 views

Can Microsoft's cognitive service find similar person in a set of images without using the face service?

I need to create an application that can detect if a person X entered as an input exists in an image set and return as output all the images in which the person X exists. The problem is that the ...
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1answer
19 views

How is mean and variance calculated in bayesian curve fitting?

This page is from Pattern Recognition by Bishop. What is the explanation for equations 1.70. 1.71 and 1.72? Edit: The distributions are all gaussian.
2
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1answer
33 views

How do I tag the most interesting parts of a video?

This is a follow-up question from my previous question here. I'm new to ML/DL, and one thing I need to do is to use a machine or deep learning video attention model which as the name suggests, can tag ...
4
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1answer
88 views

What is the best measure against 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 ...
2
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2answers
56 views

Using human driver behavior data to train autonomous vehicles

If I have a car and a human is driving a car on a daily basis. I create a system to analyze the human routines of driving and implement this system in maybe 10,000 cars. I use that data to train an ...
3
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0answers
27 views

What are the differences between CRF and HMM?

What I know about CRF is that they are discriminative models, while HMM are generative models, but, in the inference method, both use the same algorithm, that is, the Viterbi algorithm, and forward ...
2
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1answer
28 views

What does the words “coarse” & “fine” means in the context of computer vision and semantic segmentation?

I was reading the well know paper Fully Convolutional Networks for Semantic Segmentation and throughout the whole paper they talk use the term fine and coarse. I was wondering what the meant. The ...
2
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0answers
40 views

Grouped Text classification

I have thousands groups of paragraphs and I need to classify these paragraphs. The problem is that I need to classify each paragraph based on other paragraphs in the group! For example, a paragraph ...
3
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1answer
45 views

What weights should I use while back-propagating?

I've started to learn about neural networks recently and I can't find the answer to this question. Let's assume there's a neural network (fig. 1) So if the loss function is: and the derivative is: ...
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30 views

Al online course

I have learned embedded systems Now I need an online course in artificial intelligence to make a project mixing between them (es&ai)
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1answer
38 views

How do I identify the number and type of objects in the same picture?

I need to identify the number and type of all objects in a picture, so there can be multiple objects of the same type. For example, I have a picture with $10$ animals, and I want my program to tell ...
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0answers
26 views

How do you scale your ML problems?

While I have limited resource usually to train my machine learning models, I often find that my hyperparameter optimization procedure is not necessary using all my GPU and CPU, and that is because the ...
3
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1answer
51 views

What is the relationship between degrees of freedom and the size of the training dataset?

I am going through the book Pattern Recognition by Bishop. At one point he says For $M = 9$, the training set error goes to zero, as we might expect because this polynomial contains 10 degrees of ...
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1answer
34 views

Use deep learning to rank video scenes

I'm new to machine learning and especially, deep learning. Given a video (and it's subtitle), I need to generate a 10-second summary out of this video. How can I use ML and DL to produce the most ...
3
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2answers
58 views

Is PReLU superfluous with respect to ReLU?

Why do people use the $PReLU$ activation? $PReLU[x] = ReLU[x] + ReLU[p*x]$ with the parameter $p$ typically being a small negative number. If a fully connected layer is followed by a at least two ...
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0answers
18 views

Are there some formulae in facial recognition that are indicators of close kinship?

I noticed what I considered a close resemblance of a woman B to another woman A which led to a close relative A labelled C, who B bore an even stronger resemblance to than she did to A. However I ...
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0answers
37 views

How can an ANN efficiently predict multiple numbers with fixed sum (in other words, proportions)?

I need a neural network (or any other solution) to predict 3 values which sum equals a fixed number (100). This will help me calculate proportions. Which is the most efficient way to do this? The ...
2
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0answers
26 views

How can I use gradient boosting with multiple features?

I'm trying to use gradient boosting and I'm using sklearn's GradientBoostingClassifier class. My problem is that I'm having a data frame with 5 columns and I want ...
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0answers
34 views

Reward problem in A2C with multiple simultaneous discrete actions

I've built an A2C model whose actor's network has two different kinds of discrete actions, so the critic would take state and action (note that critic takes 2 actions because in each timestep we will ...
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0answers
37 views

Unique game problem (ML, DP, PP etc)

Looking for a solution to my below game problem. I believe it to require some sort of reinforcement learning, dynamic programming, or probabilistic programming solution, but am unsure... This is my ...
1
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2answers
37 views

Does this hyperparameter optimisation approach yield the optimal hyperparameters?

Say I have a ML model which is not very costly to train. It has around say 5 hyperparameters. One way to select best hyperparameters would be to keep all the other hyperparamaters fixed and train ...
2
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2answers
71 views

What is the difference between a machine learning engineer and deep learning engineer?

What is the difference between a Machine Learning Engineer and Deep Learning Engineer and an AI developer? What would be their daily tasks at the office?
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1answer
22 views

How to rescale data to its original range after MinMaxScaler?

I'm using sklearn's MinMaxScaler in order to scale my data down. However, it would be nice to be able to rescale it back to its original range. Is there any way I ...
9
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1answer
215 views

How to stay a up-to-date researcher in ML/RL community?

As a student who wants to work on machine learning, I would like to know how it is possible to start my studies and how to follow it to stay up-to-date. For example, I am willing to work on RL and MAB ...
4
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2answers
146 views

Can a computer conclude following philosophical concepts from a story?

Say you have to enter a story to a computer. Now the computer has to identify the philosophical concept on which the story is based, say: Was it a "self-fulfilling prophecy"? Was it an example of "...
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0answers
61 views

What can be inferred about the training data from a trained neural network?

Suppose we trained a neural network on some training set that we call $X$. Given the neural network and the method of training(algorithm, hyperparameters etc.) can we infer anything about $X$. Now, ...
2
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0answers
62 views

What is a conditional random field?

I new in machine learning, especially in Conditional Random Fields (CRF). I have read several articles and papers and in there is always associated with HMM and sequences classification. I don't ...
1
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2answers
42 views

How to enforce covariance-matrix output as part of the last layer of a Policy Network?

I have a continuous state space, and a continuous action space. The way I understand it, I can build a policy network which takes as input a continuous state vector and outputs both mean vector and ...
3
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1answer
66 views

Which models accept numerical parameters and produce a numerical output?

I need a model that will take in a few numerical parameters, and give back a numerical answer (Context: predicting a slope based on environmental factors without having to actually take measurements ...
1
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0answers
61 views

How do I determine the generalisation ability of a neural network?

I am trying to ascertain if my neural network is able to generalize or if it’s simply using memory/overfitting to solve a task. I would like my model to generalise. Currently, I train the neural ...
1
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1answer
26 views

How should we understand the evaluation metric, AUC, in link prediction problems?

In link prediction problems, there are only known edges and nodes. If there is a known edge in the node pair, the node pair is regarded as a positive sample. Except for those node pairs whose edges ...
0
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1answer
47 views

How to recognize with just name and last name if the person is a political exposed person

First than all, I am not sure if this questions is more about Machine Learning, or if its Artificial Intelligence, if not, just let me know I will delete it. At my company we need to create a ...
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0answers
11 views

Scikit-Learn: monotoneous quantile estimation

I would like to implement various AI-estimators for quantile estimation for a regression problem. It would be necessary to have non-crossing quantiles, that is larger quantiles would correspond to ...