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9 views

detection with only classification

how to make a detector only with classification, I don't need the localization funtion (yolo/FasterRCNN bounding boxes). the Cats and Dogs classification works very well, but if I make inference on a ...
1
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1answer
8 views

Why feed actions in later layer in Q network?

I read the DDPG paper, in which the authors state that the actions are fed only later to their Q network: Actions were not included until the 2nd hidden layer of Q. (Sec 7, Experiment Details) So ...
1
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1answer
13 views

REINFORCE algorithm for portfolio optimization - problem while training

I'm trying to implement the Reinforce algorithm (Monte Carlo policy gradient) in order to optimize a portfolio of 94 stocks on a daily basis (I have suitable historical data to achieve this). The idea ...
1
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0answers
11 views

The disadvantage of maximum number of fitness function call as stop criteria

I'm studying different stop criteria in genetic algorithm and advantages and disadvantages of each of them for evaluating different algorithms. One of these methods is max number of fitness function ...
1
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1answer
20 views

when should I create a custom loss function?

Hi I'm using neural network to solve a multi regression problem. I'm trying to predict continuous values, to be more specific I'm making a tracking algorithm to track the position of an Object, I'm ...
1
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1answer
17 views

Kullback-Leibler Divergence? How does it give knowledge gained?

I'm reading on KL Divergence on Wikipedia and I don't understand how the equation gives "information gained" as it says. I was under the impression that KL divergence is a way of measure difference ...
1
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1answer
24 views

When should I use a linear activation instead of ReLU?

I have read this post: How to choose an activation function?. There is enough literature about activation functions, but when should I use a linear activation instead of ReLU? What does the author ...
1
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1answer
25 views

Confusion about temporal difference learning

I have a couple of small questions about the David Silver lecture about reinforcement learning, lecture slides (slides 23, 24). More specifically it is about the temporal difference algorithm: $$V(...
0
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0answers
20 views

What is the underlying model of IBM Watson Assistant and Microsoft LUIS?

As I stated in my question, I would like to know the underlying pipeline and machine learning models that are used to classify intents and identify entities in IBM Watson Assistant and Microsoft LUIS ...
0
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0answers
25 views

Is there a deep learning-based architecture for digit localisation?

I'm new to object detectors and segmentation. I want to localize digits on a plate as fast as possible. All images of the dataset are normalized to $300 \times 60$. There are different approaches to ...
0
votes
1answer
18 views

How can I remove the noise from an EEG signal?

I am working on a project that takes signals from the brain and preprocesses them and then makes the machine learn about what human is thinking about. But I am struck in preprocessing of signal (...
0
votes
2answers
34 views

Using ML to encypher data for production

I am looking for research and experience working with ML models to ingest data for tasks, like text analysis, and creates a system that copies (or in other words enciphers) the input data, to then ...
1
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2answers
34 views

What's going on in the equation of the variational lower bound?

I don't really understand what this equation is saying or what the purpose of the ELBO is? How does it help us find the true posterior distribution?
1
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1answer
54 views

What would be the most effective self-learning algorithm for a 7 player social deduction game?

There's this 7 player social deduction game called Secret Hitler, and I have been trying to find a self-learning AI algorithm to learn how to play this game for a while. Basically, four players are ...
1
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2answers
35 views

Multivariate Regression Model

I want to build a Multivariate Regression Model in Keras (Tensorflow as backend), with multiple values as input and output of the model. It is for a technical project with multiple variables as ...
2
votes
2answers
47 views

What are the risks associated with regulating AI?

As part of a research project for college I would like to understand what many of you astern to be the risks associated with regulating Artificial Intelligence. Such as whether regulation is too risky ...
17
votes
7answers
4k views

Computationally expensive AI techniques (that are promising)

To produce tangible results in the field of ML/AI, one must take theoretical results under the lens of computational complexity. Indeed, minimax effectively solves any two-person "board game" with ...
3
votes
1answer
25 views

Is there any measure of separability of classes?

I want to know if there is a measure of how well two classes in Y are separable (linearly or not) based on their features in X. Easiest way of explaining this is to compare it to correlation ...
1
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0answers
10 views

Is there any open source implementation of the SBEED learning algorithm?

Are there are any openly available implementations of the SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation learning?
0
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1answer
45 views

What can I do with an autoencoder? [duplicate]

I cannot find information in detail about autoencoder What can I do with an autoencoder (and how can I do this), practically speaking? What does the encoder (this part I think I understand) and a ...
1
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0answers
27 views

What's a good generative model for creating valid formats of a person's name?

I'm trying to come up with a generative model that can input a name and output all valid formats of it. For example, "Bob Dylan" could be an input and the gen model will output "Dylan, Bob", "B ...
6
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1answer
62 views

Is there a way to understand neural networks without using the concept of brain?

Is there a way to understand, for instance, a multi-layered perceptron without hand-waving about them being similar to brains etc? For example: it is obvious that what a perceptron does is ...
1
vote
1answer
13 views

Maximize loss on non-target variable

I have a neural network that should be able to classify documents to target label A. The problem is that the network is actually classifying label B, which is an easier task. To make the problem more ...
1
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0answers
25 views

Understanding the partial derivative with respect to the weight matrix and bias

Say we have the layer $X W + b = Y$. I want to get $\frac{dL}{dW}$ and we assume I have $\frac{dL}{dY}$. So all I need is to find $\frac{dY}{dW}$. I know that it should be $X^T\frac{dL}{dY}$ but don'...
1
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0answers
15 views

Bias and Variance Random Forrest

On this website https://scikit-learn.org/stable/modules/learning_curve.html, the authors are speaking about variance and bias and they give a simple example of how works in a linear model. But how ...
0
votes
1answer
43 views

How to interpret this learning curve plot

Bellow I have a Learning Curve plot How should I interpret this plot for my random forrest algorithm (the second one the most complex one)? Which one is the best?
0
votes
1answer
38 views

Why is my neural network giving me wildly incorrect error and not changing accuracy?

My full code is as follows. I have tried to whittle it down to just the code that matters, but the problem I have is that i'm not sure what part of my network code is producing the problem. I've ...
-3
votes
0answers
23 views

Machine Language and Assembly Language [on hold]

What is the Difference between Machine language and Assembly Language based on Computer Scientist was of thinking?
1
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0answers
25 views

Reinforcement learning number of episodes per epoch not matching with paper

I am trying to reproduce results presented in this paper. On page 4, the authors state: ... we train for 50 epochs (one epoch consists of 19*2*50 = 1900 full episodes), which amounts to a total ...
0
votes
1answer
11 views

GPT-2 for timeseries data prediction?

Is it possible and how trivial (Or not) might it be (If possible) to retrain GPT-2 on timeseries data instead of text?
1
vote
1answer
40 views

How should I interpret this validation plot?

Bellow I have a validation plot How should I interpret this validation plot? Is my data underfitting? What else can be seen from this? Which one is the best? What does it mean that the right line is ...
1
vote
1answer
30 views

How to plot Loss Landscape with more than 2 weights in the network

For a single neuron with 2 weights, I can plot the loss landscape and it looks like this (OR data, sigmoid activation, MAE loss): But, when the neuron accepts more inputs, which means more than 2 ...
0
votes
0answers
32 views

Training a sound localization neural network [on hold]

I am trying to train a neural network, to estimate the location (in degrees from 0 to 180) a sound is coming from. I am using tensorflow keras in python to train the model. The input data are two ...
1
vote
0answers
24 views

Did I understand deep Q leaning right? (Implementation)

Gday guys, so I tried to implement my own enviroment and agent in order to fully understand DQNs. The enviroment is a dungeon with five states. actionspace = 2 statespace = 5 !!!Action a0 is ...
1
vote
3answers
65 views

How can neural networks be used to generate rather than classify?

In my experience with Neural Nets, I have only used them to take input vectors and return binary output. But, here in a video, https://youtu.be/ajGgd9Ld-Wc?t=214, Kai Fu Lee, renowned AI Expert shows ...
3
votes
1answer
42 views

How do I determine the most appropriate classifier for a certain problem?

Consider a Bayesian classifier used in spam e-mail filtering. It converts an e-mail to a vector, most of the time using the bag-of-words method. Although it learns first before getting employed, it ...
1
vote
2answers
92 views

Is artificial intelligence and, in particular, neural networks being used in real-world critical applications?

Is artificial intelligence and, in particular, neural networks being used in real-world critical applications and devices? I had a discussion with my colleague who states that nobody would use ...
3
votes
0answers
20 views

How to choose the weights for a linear combination of heuristic functions?

I need to write a minimax algorithm with alpha-beta pruning in limited time for the 2048 game. I know expectimax is better for this work. Assume I wrote different heuristic functions. If I want to ...
2
votes
2answers
74 views

Which courses in computer science and logic are relevant to Machine Learning?

Although I have a decent background in math, I'm trying to understand which courses from CS and logic to look into. My aim is to get into a Machine Learning PhD program.
1
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0answers
24 views

Assigning Weighting Factors

I have a hypothetical example that closes to my research problem: Assume you are a boss and you have different types of tasks that you need to assign to your employee. Sensitive task (very classified)...
0
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0answers
4 views

Demonstrate the internal laws of the circumstance when the inequalities of Sauer's Lemma are strict

We proved Sauer’s lemma by proving that for every class H of finite VC-dimension d, and every subset A of the domain, $$ \left|\mathcal{H}_{A}\right| \leq |\{B \subseteq A: \mathcal{H} \text { ...
1
vote
1answer
73 views

An “elevator pitch” breakdown of areas of applications for Reinforcement Learning & Neural Networks vs. Genetic Algorithms

I'm looking for an "elevator pitch" breakdown of areas of applications for Reinforcement Learning & Neural Networks vs. Genetic Algorithms, both actual and theoretical. Links are welcome, but ...
0
votes
1answer
60 views

Emotional Speech Synthesis

We are a team of computer science our graduation project about EmotionalSpeech Synthesis. We've found valuable information like research papers and WaveNet, Tacotron. A website (https://www.voicery....
1
vote
0answers
35 views

How can an AI play Flow Free?

The game "Flow Free" in which you connect coloured dots with lines is very popular. A human can learn techniques to play it. I was wondering how an AI might approach it. There are certain rules of ...
5
votes
2answers
81 views

“AI will kill us all! The machines will rise up!” - what is being done to dispel such myths?

Science Fiction has frequently shown AI to be a threat to the very existence of mankind. AI systems have often been the antagonists in many works of fiction, from 2001: A Space Odyssey through to The ...
1
vote
0answers
33 views

How can I use Flask to integrate a chatbot created with TensorFlow into a website?

I have recently started developing a chatbot with TensorFlow. I already have a model that receives a question and outputs an answer. But how do I use Flask to integrate my Tensorflow chatbot model ...
1
vote
1answer
54 views

Recurrent Neural Network to track distance from origin

I have a game/simulation that takes a vector of encoded sequences of moves (up, down, left, right). Let's say that these are sequential step taken by an ant moving in a 2D space, starting from the ...
2
votes
1answer
25 views

Doubt in Deep-Q learning with sparse rewards

I am working on a deep reinforcement learning problem, when I got stuck at the following questions. They are rather general and not specific to my specific problem. The solution uses a sparse reward ...
1
vote
0answers
21 views

Resizing effects on image recognition

I have been building a multilabel image classification model using inception v3, which uses images of size 299x299, I have been wondering what are the effects of feeding images of rectangular shapes ...
2
votes
1answer
42 views

When and how to use a mix of loss functions for back-propagation?

I am trying to understand the best loss function to be used with a convolutional neural network. I came to know that we can mix two loss functions. Can any body share in what case was it done and how?

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