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

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6 views

A book that cover both theory and practice for an engineer

This might be a boring question. After reading many Quora questions about this matter it seems that books on AI/ML are too deep or too theoretical. They can be books for people who only talk about AI ...
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0answers
22 views

What kinds of problems can AI solve _without_ using a deep neural network?

A lot of questions on this site seem to be asking "can I use X to solve Y?", where X is usually a deep neural network, and Y is often something already addressed by other areas of AI that are less ...
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1answer
34 views

Is Nassim Taleb right about AI not being able to accurately predict certain types of distributions?

So Taleb has two heuristics to generally describe data distributions. One is Mediocristan, which basically means things that are on a Gaussian distribution such as height and/or weight of people. The ...
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0answers
22 views

Why do we need Upsampling and Downsampling in Progressive Growing of Gans

I was working recently on Progressive Growing of GANs (aka PGGANs). I have implemented the whole architecture, but the problem that was ticking my mind is that in simple GANs, like DCGAN, PIX2PIX, we ...
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2answers
49 views

How can I train model to extract custom entities from text?

I have a 100-150 words text and I want to extract particular information like location, product type, dates, specifications and price. Suppose if I arrange a training data which has a text as input ...
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0answers
19 views

How does the target output of a Single Shot Detector (SSD) look like?

According to the paper SSD: Single Shot MultiBox Detector, for each cell in a feature map k boxes are acquired and for each box we get $c$ class scores and $4$ offsets relative to the original default ...
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2answers
28 views

Does Monte Carlo Search (specifically used by AlphaZero) Qualify as Machine Learning?

To the best of my understanding, Monte Carlo Search is an alternative method to Minimax for searching a tree of nodes. It works by choosing a move (generally the one with the highest chance of being ...
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1answer
48 views

Turing test vs machine learning

I am trying to understand if there is a fine line between Turing test and the development of Machine learning. Can we say as Turing test aims to develop machines or methods to reach human-level ...
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0answers
41 views

Loss function for Hierarchical Multi-label classification

I am looking to try different loss functions for a hierarchical multi-label classification problem. So far, I have been training different models or submodels like multilayer perceptron ( MLP )branch ...
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0answers
26 views

How recurrent neural network work when predict many days?

I use recurrent neural network, RNNs have to get input one value per step and it will show one value output. If I have daily sale demand time series data. I want to predict sale demand for three ...
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1answer
21 views

How do I compute log-likelihood for training set in supervised learning?

I am building a supervised learning model and I wish to compute the log-likelihood for the training set at the point of the minimum validation error. Initially, I was computing the sum of all the ...
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0answers
24 views

Optimization step in Apprenticeship Learning via Inverse Reinforcement Learning

Why the optimization step of the algorithm a quadratic program? [See: Apprenticeship Learning via Inverse Reinforcement Learning; page 3] Isn't the objective function linear? Why don't we treat ...
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2answers
64 views

What is the best approach for writing a program to identify objects in a picture then crop them a specific way?

My works quality control department is responsible for taking pictures of our products at various phases through our QC process and currently the process goes: Take picture of product Crop the ...
3
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1answer
42 views

Why coupling coefficients (c) in Capsule networks can't by learned by backpropagation?

The paper Dynamic Routing Between Capsules uses the algorithm called "Dynamic Routing Between Capsules" to determine the coupling coefficients between capsules. Why it can't be done by ...
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2answers
97 views

universal function approximation of neural networks

It has been proven by Cybenko in 1989 that neural networks are universal function approximators, but I have a related question that is somewhat different. Assume the neural network's input and output ...
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2answers
45 views

Training problem with deep neural network model

I am using TensorFlow's Adam optimizer and ReLu activation. But each time I train my model the cost becomes stagnant after some epochs. Can any one help me out with the possible reasons I have added ...
3
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1answer
44 views

What are SVMs (Support Vector Machines)?

What are SVMs (Support Vector Machines)? Are SVMs a kind of a neural network? (meaning it has nodes and weights, etc). What are best used for? Where I can find information about these for... dummies?...
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2answers
53 views

Image Classification

I am currently working on a project to classify snake types separately using an image of the snake. I need to train a module to classify snake images, but the problem is there are only a small number ...
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1answer
19 views

How to label “other” while labeling image for object detection/classification?

I want to train a model to recognize different category of food (example: rice, burger, apple, pizza, orange,... ) After the first training, I realized that the model is detecting other object as ...
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0answers
11 views

If digital values are mere estimates, why not return to analog?

The impetus for the great transition from analog circuits to digital circuits in the previous generation's day was because digital circuitry provided greater accuracy and lower noise. Now we are ...
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1answer
41 views

Machine learning to detect wrong address data

I want to use a machine learning algorithm to detect false address data. I learned about neural networks and machine learning at university, but I don't have much experience in this field. Do you ...
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0answers
19 views

Reinforcement Learning in Game Javascript

I really want to understand how reinforcement learning works. I built a simple game to test this. There are squares falling from the sky and you have the arrow keys to escape. How could I code the ...
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0answers
14 views

Difference in trained models between GCP's Google Vision and Firebase's ML kit?

Anyone here know if the image-recognition/text-recognition/etc features of Google Vision API use the same trained models as the image-recognition/text-recognition/etc of Firebase's ML kit? If they don'...
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1answer
72 views

What topologies support recognition of action sequences?

The ability to recognize an object with particular identifying features from single or multiple camera shoots with the temporal dimension digitized as frames has been shown. The proof is that the ...
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4answers
158 views

Why do we need floats for using neural networks?

Is it possible to make a neural network that uses only integers by scaling input and output of each function to [-INT_MAX, INT_MAX]? Is there any drawbacks?
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0answers
23 views

NLP for semantic retrieval

I want to use NLP for semantic retrieval. I am new to this field. Can anyone suggest toolkit or tutorial to learn and implement NLP from scratch.
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0answers
27 views

What is an embedding and to which parameter does it correspond in a neural network?

What is an embedding, how is it determined, what does the parameter “size” of an embedding mean, to which parameter does it correspond in a neural network?
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0answers
51 views

Backpropagation of convolutional neural network - confusion [closed]

I've already seen many articles about this topic and Backpropagation In Convolutional Neural Networks by Jefkine (5 September 2016) seems to be the best. Although, as author said, For the purposes ...
3
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1answer
36 views

Is 'job title classification' rather a problem of NLP or machine learning?

first of all I want to specify the data available and what needs to be achieved: I have a huge amount of vacancies (in the millions). The information about the job title and the job description of ...
4
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1answer
56 views

What would be the best approach to teach an AI to learn how to “sing” along a beat?

I have heard and read about HyperGAN, LSTM and a few other techniques, but I have a hard time piecing the overall concept together. End Goal Being able to input an instrumental and get an output of ...
3
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1answer
74 views

Why does training an SVM take so long? How can I speed it up?

I'm trying to create and test non-linear SVMs with various kernels (RBF, Sigmoid, Polynomial) in scikit-learn, to create a model which can classify anomalies and benign behaviors. My dataset ...
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0answers
25 views

What methods are there to detect discrimination in trained models?

I've been researching AI regulation and compliance (see my related question on law.stackexchange), and one of the big take-aways that I had is that the regulations that apply to a human will apply to ...
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0answers
18 views

In CNN (Convolutional Neural Network), does the combination of previous layer's filters make next layer's filters?

I know that the first layer uses a low-level filter to see the edge information. As the layer gets deeper, it will represent high-level (abstract) information. Is it because the combinations of ...
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0answers
23 views

small multinomial Naive Bayes text classification probabilities

When applying multinomial Naive Bayes text classification I get very small probabilities(around 10e-48) so there's no way for me to know which classes are valid ...
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0answers
30 views

Multiple sets of input in Neural network (or other form of ML)

I'm currently working on a research project where I try to apply different kinds of Machine Learning on some existing software I wrote a few years ago. This software will scan for people in the room ...
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0answers
32 views

How do GAN's generator actually work?

I have implemented DCGAN's myself and have been studying GAN's for over a month now. Now I am implementing the pggans but I encountered a sentence When we measure the distance between the ...
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2answers
50 views

Finding the right questions to increase accuracy in classification

Lets say I have a list of 100k medical cases from my hospital, each row = patient with symptoms (such as fever , funny smell, pain etc.. ) and my labels are medical conditions such as Head trauma, ...
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1answer
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3answers
187 views

Can ML/AI understand incomplete constructs like humans?

We have AI's predicting images, predicting objects in an image. Understanding audio, meaning of the audio if it is a spoken sentence. In humans when we start seeing a movie halfway through, we still ...
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1answer
95 views

Does machine learning continue to learn?

If I do supervised learning the model learns from the labeled input data. This seems to be quite often a small set of human annotated data. Is it true to say this is the only 'learning' the model ...
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1answer
57 views

Backward Pass for LSTMs

TL;DR I am currently trying to understand the mathematics in Ger's paper Long Short-Term Memory in Recurrent Neural Networks. I have found the document clear and readable so far. On pg. 21 of the ...
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0answers
35 views

Sparsity constraint in a deep autoencoder

Is there any way and any reason why one would introduce a sparsity constraint on a deep autoencoder? In particular, in deep autoencoders the first layer often has more units than the dimensionality ...
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1answer
39 views

AI to recognize keyword in a phrase within a context

I am building a search engine and I am looking for an open source AI algorithm to recognize the keyword in a search phrase within a particular context. So if a user passes something in the line of <...
3
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3answers
47 views

Could an AI be built to learn based of interaction with a human?

Following my recent chat on this network, I have been advised to form this question. Background: Currently a neural network or deep-learning/machine learning is programmed to interact with specific ...
2
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1answer
29 views

Taking into consideration “Number of Steps” in RL

I am currently implementing this paper in Python. While reading about the reward scheme I came across the following: Finally, the proposed reward scheme implicitly considers the number of steps ...
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1answer
28 views

Gradient descent update

In the following, I put the link for the general algorithm of maximum entropy inverse reinforcement learning. http://178.79.149.207/assets/maxent/maxent_slide.jpg This uses a gradient descent ...
2
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1answer
85 views

Is Christopher Bishop’s “Pattern Recognition and Machine Learning” out of date in 2018?

I recently came across reference to a book that was highly regarded: “Pattern Recognition and Machine Learning” by Christopher Bishop. I am a beginner working my way through some machine learning ...
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0answers
27 views

Why do we have to solve MDP in each iteration of Maximum Entropy Inverse Reinforcement Learning?

Gradient in Maximum Entropy IRL requires to find the probability of expert trajectories given the reward function weights. This is done in the paper by calculating state visitation probabilities but I ...
3
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2answers
44 views

Matrix Dimension for Linear regression coefficients

While reading about least squares implementation for machine learning I came across this passage in the following two photos: Perhaps I’m misinterpreting the meaning of beta but if X^T has dimension ...
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1answer
39 views

What YOLO algorithm can I use for images with noise as I will implement it in real time

I want to detect drivers with, or without seatbelts at cross roads and for that, as it is real time, I am going to use yolo algorithm. For training data sets (the images) I need to collect, I placed a ...