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6 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 ...
3
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0answers
20 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
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0answers
5 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 ...
0
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0answers
5 views

Is it possible to use CNN to classify multi-channel data?

I was converting signal into time-frequency image and feeding it to a CNN model. And it was successful. But the problem is the signal was single channel. How can I perform this in multi-channel signal....
1
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0answers
16 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
8 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
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0answers
13 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
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1answer
26 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 ...
-2
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0answers
15 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
23 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
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1answer
7 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
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1answer
28 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
23 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
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0answers
27 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
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0answers
21 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
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3answers
53 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
37 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
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2answers
76 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
19 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
66 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
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)...
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
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1answer
67 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
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1answer
47 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
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0answers
32 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
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2answers
69 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
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0answers
14 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
51 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
23 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
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0answers
19 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 ...
1
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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
vote
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
votes
1answer
26 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 ...
0
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0answers
10 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
votes
1answer
31 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 ...
1
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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
vote
1answer
29 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
vote
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-...
0
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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
votes
2answers
59 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
votes
0answers
24 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 ...
0
votes
0answers
18 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 ...
1
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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
votes
4answers
764 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
votes
2answers
38 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 ...
1
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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 ...
0
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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
votes
0answers
28 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
votes
1answer
47 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 ...

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