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9 views

Training a sound localization neural network

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 ...
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0answers
14 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 ...
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2answers
17 views

How can neural networks be used to generate multiple outputs?

As far I've been using Neural Nets, I've used them to take input vectors and return yes/no like the output. But, here in a video, https://youtu.be/ajGgd9Ld-Wc?t=214, Kai Fu Lee, renowned AI Expert ...
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0answers
15 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 ...
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1answer
27 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
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0answers
16 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
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2answers
29 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.
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0answers
23 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)...
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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 { ...
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1answer
51 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 ...
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1answer
38 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....
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0answers
31 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 ...
3
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2answers
64 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 ...
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0answers
12 views

Tensorflow Chatbot Integration

I have recently started with chat-bot development using Tensor flow. I have model ready with question and answer output. My question is I am not sure how to use flask to integrate my Tensorflow ...
1
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1answer
47 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
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1answer
22 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 ...
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0answers
18 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 ...
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0answers
25 views

When and How to use a mix of Loss Functions for back propagation?

Trying to understand the best loss function to be used with CNN, I came to know that we can mix two loss functions. Can any body share in what case was it done and how?
1
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0answers
13 views

Finetuning GPT-2 twice for particular style of writing on a particular topic

Sorry if this is a stupid question. I'm just starting out in ML and am working with gpt-2 for text generation. My situation is that I have to generate text in a particular field for eg. family ...
1
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1answer
17 views

Are there deep networks that can differentiate object class from individual object?

We usually categorize objects in a hierarchy of classes. Let us say crow vs bird. In addition, classes can be "messy", for instance a crow can be also a predator, but not all birds are predators. My ...
2
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1answer
25 views

Q Learning for FrozenLake environment not converging to V* values from Value Iteration

I am trying to learn tabular Q learning, value iteration using the classical algorithms (no neural networks) by using a table of states and actions. I was trying it out on FrozenLake environment in ...
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0answers
9 views

Which metrics of COCO API are suitable for object detection

These days I train a person detector and I use COCO API to evaluate my model. It uses Recall and Precision to evaluate a detection task. It's output is something like this: ...
2
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1answer
30 views

What are sim2sim, sim2real and real2real?

Recently, I always hear about the terms sim2sim, sim2real and real2real. Will anyone explain the meaning/motivation of these terms (in DL/RL research community)? What are the challenges in this ...
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2answers
50 views

What are the standard problems for CNNs and LSTMs?

What are the standard (or baseline) problems (or at least common ones) for CNNs and LSTMs? As an example, for a feed-forward neural net, a common problem is the XOR problem. Is there a standard ...
1
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1answer
27 views

Why is image classification tasks are dominated by minimizing cost function instead of maximizing ones?

I was watching a video of policy gradient by Andrej Karpathy at 10:00 there shows an equation for supervised learning for image classification. $max\sum _{i}log \:p(y_i|x_i)$ I have worked with ...
1
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1answer
50 views

Is top down or bottom up nanotechnology more realistic?

K. Eric Drexler has authored in the mid 1980s a famous book about nanotechnology. It was mostly an artist work, but not a scientific one. Drexler introduced the top down concept for creating nano-...
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0answers
19 views

Combining Multiple Point Clouds

I have a car with 8 lidars, each with a field of view of 60 degrees. My car looks like this: How can I merge all the lidar readings into 1 point cloud?
3
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2answers
56 views

How is the reCaptcha useful for Google?

I am wondering where Google uses the result from deep learning of reCaptcha (how can a system that knows to recognize street signs is useful somewhere? how they profit from it?)
2
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0answers
23 views

Are there methods that allow deep networks to learn object categorization in a self-supervised way?

When training a deep network to learn object classification from a set like ImageNet, we minimize the cross entropy between the ground truth and the predicted categories. This is done in a supervised ...
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0answers
17 views

Ideas on how to train an AI to play Mario Kart with the DeSmuME Emulator

Gday guys, i have this idea in my mind for quite a while. I want to teach an AI to play Mario Kart on the NDS, which can hopefully beat me and my friends one day. Iam familiar with the theoretical ...
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0answers
18 views

Why hasn't deep learning been used for word level alignment?

I've been exploring word-level alignments tools such as MGIZA and it seems to me that there hasn't been any new tool for this problem. Are neural networks not suitable to solve this problem or simply ...
5
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4answers
758 views

Do neurons of a neural network model a linear relationship?

I'm certain that this is a very naive question, but I am just beginning to look more deeply at neural networks, having only used decision tree approaches in the past. Also, my formal mathematics ...
0
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2answers
35 views

How do we choose the activation function for each hidden node? [duplicate]

I am new to neural networks. I would like to use them as a fitting or forecasting method. A simple NN model that does not contain hidden layers, that is, the input nodes are directly connected to the ...
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0answers
30 views

Showing machine learning results to Group CEO

I am working as a Data Scientist in a non IT company(in fortune 500) and the group CEO is visiting the Data Science department after it's inception a few months back. We have models like chrun ...
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1answer
23 views

Is this learning rate schedule increasing the learning rate?

I was reading a PyTorch code then I saw this learning rate scheduler: ...
2
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0answers
26 views

Best approach for online Machine Translation with few hundred of samples?

I want to implement a model that improves itself with the passage of time. My main task is to build a machine translator (from English to Urdu).. The problem I am facing is that I have very little ...
0
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1answer
46 views

Is a Strong AI and a captcha the same?

The definition of a narrow AI isn't very complicated. It's a computer program which can solve a task, for example, a text to speech software. According to the capabilities in doing so, there are ...
1
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1answer
47 views

What will change when workstations will have ARM Machine Learning Processors onboard?

lately we read that many manufacturers are forcing ARM architectures to be used on future workstations. One of ARM's recent announcements is a machine learning processor. What will change in terms of ...
3
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0answers
24 views

How to train a model to extract custom and unknown entities

I'm trying to figure out how to extract specific text from an utterance by a user. I need to extract "unknown" text from a short and simple text. In this case, the user wants to create a list. ...
0
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3answers
108 views

Is machine learning required for deep learning?

The answers to this Quora question say it's OK to ignore machine learning and start right away with deep learning. Is machine learning required or is useful for understanding (theoretically and ...
2
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1answer
12 views

Independance of Gradient of feedforward neural network

Can the gradient of a feedforward neural network at a layer be assumed to be independent of the activations of the previous layers ? I read this in a paper titled "Mean Field Residual Networks: On the ...
2
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1answer
20 views

Understanding the equation of the empirical error

The empirical error equation given in the book Understanding Machine Learning: From Theory to Algorithms is My intuition for this equation is: total wrong predictions divided by the total number of ...
1
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1answer
21 views

Prove that in such cases, it is possible to find an ERM hypothesis for $H_n$ in the unrealizable case in time $O(mnm^{O(n)})$

Let $H_1$ , $H_2$ ,... be a sequence of hypothesis classes for binary classification. Assume that there is a learning algorithm that implements the ERM rule in the realizable case such that the ...
2
votes
1answer
45 views

In what ways can financial markets be hacked? [Algorithmic Trading]

There was a recent question on adversarial AI applications, which led me to start digging around. Here my interest is not general, but specific: What are the vulnerabilities of automated trading ...
0
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1answer
43 views

Confused with backprop in pytorch with BCE loss

I've a prediction matrix(P) of dimension 3x3 and one-hot encoded label matrix(L) of dimension 3x3 as shown below. ...
1
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0answers
30 views

How exactly can blockchain make Artificial Intelligence better?

Blockchain and artificial intelligence are both making strides in the industry. While Blockchain is revolutionizing the financial sector, artificial intelligence is advancing the industry with self-...
0
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2answers
60 views

Good lecture notes on artificial intelligence and related topics

Where can i find free and good online lecture notes on Ai, deep learning, machine learning ecc?
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0answers
9 views

Looking to use AttnGAN and train it myself using my own images. Is this possible? How difficult would this be for myself to learn?

I am an artist and I am interested in training an image generating AI, specifically AttnGAN, using my own images. I would also consider hiring someone to set this up then show me how to use it, but I’...
1
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0answers
10 views

How does the Bidirectional RNN works?

Could it be possible to reach a similar output via feeding a unidirectional network with the original data and the data played backwards?
1
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0answers
10 views

evolutionary programming for economic load dispatch

i am a new beginner to EP algorithm.Could someone help me with a coding for economic load dispatch using EP? Can i have some examples to learn? Tq

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