date stringlengths 10 10 | nb_tokens int64 60 629k | text_size int64 234 1.02M | content stringlengths 234 1.02M |
|---|---|---|---|
2019/03/22 | 1,265 | 5,320 | <issue_start>username_0: Coming from a process (optimal) control background, I have begun studying the field of deep reinforcement learning.
Sutton & Barto (2015) state that
>
> particularly important (to the writing of the text) have been the contributions establishing and developing the relationships to the theory... |
2019/03/23 | 1,206 | 5,276 | <issue_start>username_0: [Autoencoders](https://en.wikipedia.org/wiki/Autoencoder) are neural networks that learn a compressed representation of the input in order to later reconstruct it, so they can be used for dimensionality reduction. They are composed of an encoder and a decoder (which can be separate neural netwo... |
2019/03/23 | 1,143 | 4,712 | <issue_start>username_0: [<NAME>' Neural Networks A Systematic Introduction, section 8.1.2](https://page.mi.fu-berlin.de/rojas/neural/chapter/K8.pdf#page=9) relates off-line backpropagation and on-line backpropagation with Gauss-Jacobi and Gauss-Seidel methods for finding the intersection of two lines.
What I can't un... |
2019/03/24 | 856 | 3,319 | <issue_start>username_0: I am training a modified VGG-16 to classify crowd density (empty, low, moderate, high). 2 dropout layers were added at the end on the network each one after one of the last 2 FC layers.
network settings:
* training data contain 4381 images categorized under 4 categories (empty, low, moderate,... |
2019/03/24 | 905 | 3,221 | <issue_start>username_0: I was looking for an approach to recognise musical notes from photos.
I found this repository <https://github.com/mpralat/notesRecognizer>. However, it doesn't seem good enough. If you look into the [`bad`](https://i.stack.imgur.com/XtB0y.png) folder, you can see that just tiny variations of l... |
2019/03/25 | 300 | 1,173 | <issue_start>username_0: I have been looking for BERT for many tasks. I would like to compare the performance to answer an FAQ, using BERT semantic similarity and BERT Q/A.
However, I'm not sure it is a good idea to use semantic similarity for this task. If it is, do you think it is possible to find a dataset to fine-... |
2019/03/25 | 508 | 2,056 | <issue_start>username_0: From what I know, AI/ML uses a large amount of data to train an algorithm to solve problems. But since it’s an algorithm, I was wondering if it's possible to export it. If I trained an AI with R, could I export a mathematical algorithm that could be imported by other users to use in their appli... |
2019/03/27 | 936 | 3,730 | <issue_start>username_0: Can neural networks change or evolve other neural networks? Also, could evolutionary algorithms be applied to evolve neural networks?
For example, suppose that we have neural networks A and B. The neural network B changes the neural network A. If B "successfully" changed it, NN A will survive.... |
2019/03/27 | 1,400 | 4,540 | <issue_start>username_0: I don't know what people mean by 'vanilla policy gradient', but what comes to mind is REINFORCE, which is the simplest policy gradient algorithm I can think of. Is this an accurate statement?
By REINFORCE I mean this surrogate objective
$$ \frac{1}{m} \sum\_i \sum\_t log(\pi(a\_t|s\_t)) R\_i,... |
2019/03/29 | 987 | 3,952 | <issue_start>username_0: According to the [Wikipedia page of the physical symbol system hypothesis (PSSH)](https://en.wikipedia.org/wiki/Physical_symbol_system), this hypothesis seems to be a vividly debated topic in philosophy of AI. But, since it's about formal systems, shouldn't it be already disproven by Gödel's th... |
2019/03/29 | 403 | 1,577 | <issue_start>username_0: Where or for what could genetic algorithms (GA) be used in the context of project management (PM)? I thought about task dispatching, but I'm looking for other potential uses of GAs in the context of PM.<issue_comment>username_1: Project Management is most like model to game theory. You can find... |
2019/03/29 | 1,060 | 4,169 | <issue_start>username_0: *[Super](https://en.wiktionary.org/wiki/super#Etymology_1)* comes from the Latin and means "above".
>
> University of Oxford philosopher <NAME> defines superintelligence as "any intellect that greatly exceeds the cognitive performance of humans in virtually all domains of interest".
> [(wi... |
2019/03/30 | 1,423 | 5,701 | <issue_start>username_0: Often times I see the term deep reinforcement learning to refer to RL algorithms that use neural networks, regardless of whether or not the networks are deep.
For example, [PPO](https://arxiv.org/pdf/1707.06347.pdf) is often considered a deep RL algorithm, but using a deep network is not reall... |
2019/03/30 | 1,054 | 4,444 | <issue_start>username_0: If the AI goal is to serve humans and protect them (if this ever happens) and AI someday realizes that humans destroy themselves, will it try to control people for their own good, that is, will it control man's will to not destroy himself?<issue_comment>username_1: >
> Is it standard to just c... |
2019/03/31 | 692 | 3,067 | <issue_start>username_0: I've implemented A2C. I'm now wondering why would we have multiple actors walk around the environment and gather rewards, why not just have a single agent run in an environment vector?
I personally think this will be more efficient since now all actions can be calculated together by only goin... |
2019/04/01 | 861 | 3,764 | <issue_start>username_0: I am taking AI this semester and we have a semester project that will last 4 weeks. We can choose just about anything.
So, what are some possible semester projects that can be finished in a 4-week time-frame?
Some background information: I am a graduate student in CS, but this is my first AI... |
2019/04/03 | 882 | 3,645 | <issue_start>username_0: I will explain my question in relation to chess, but it should be relevant for other games as well:
In short terms: Is it possible to combine the techniques used by AlphaZero with those used by, say, Stockfish? And if so, has it been attempted?
I have only a brief knowledge about how AlphaZer... |
2019/04/04 | 762 | 3,036 | <issue_start>username_0: I'm learning DDPG algorithm by following the following link: [Open AI Spinning Up document on DDPG](https://spinningup.openai.com/en/latest/algorithms/ddpg.html#the-policy-learning-side-of-ddpg), where it is written
>
> In order for the algorithm to have stable behavior, the replay buffer sho... |
2019/04/04 | 577 | 1,903 | <issue_start>username_0: I am making a NN library without any other external NN library, so I am implementing all layers, including the flatten layer, and algorithms (forward and backward pass) from scratch. I know the forward implementation of the flatten layer, but is the backward just reshaping it or not? If yes, ca... |
2019/04/04 | 495 | 2,122 | <issue_start>username_0: Hinton doesn't believe in the pooling operation ([video](http://www.youtube.com/watch?v=rTawFwUvnLE&t=10m12s)). I also heard that many max-pooling layers have been replaced by convolutional layers in recent years, is that true?<issue_comment>username_1: Max pooling isn't bad, it just depends of... |
2019/04/05 | 882 | 3,556 | <issue_start>username_0: I read that functions are used as activation functions only when they are differentiable. What about the unit step activation function? So, is there any other reason a function can be used as an activation function (apart from being differentiable)?<issue_comment>username_1: Not completely sure... |
2019/04/05 | 437 | 1,684 | <issue_start>username_0: I am new to NLP realm. If you have an input text "The price of orange has increased" and output text "Increase the production of orange". Can we make our RNN model to predict the output text? Or what algorithm should I use?<issue_comment>username_1: In your case you can use either RNN (especial... |
2019/04/05 | 3,184 | 12,997 | <issue_start>username_0: The tabular Q-learning algorithm is guaranteed to find the optimal $Q$ function, $Q^\*$, provided the following conditions (the [Robbins-Monro conditions](https://en.wikipedia.org/wiki/Stochastic_approximation)) regarding the learning rate are satisfied
1. $\sum\_{t} \alpha\_t(s, a) = \infty$
... |
2019/04/07 | 338 | 1,270 | <issue_start>username_0: If I have a DQN, and I care A LOT about future rewards (moreso than current rewards), can I set gamma to a number greater than 1? Like 1.1 perhaps?<issue_comment>username_1: You can't! As if you have a $\gamma$ greater than $1$ the specified sum for the q-learning will diverge! (goes to infinit... |
2019/04/08 | 285 | 1,058 | <issue_start>username_0: I'm training both DQN and double DQN in the same environment, but DQN performs significantly better than double DQN. As I've seen [in the double DQN paper](https://arxiv.org/pdf/1509.06461.pdf), double DQN should perform better than DQN. Am I doing something wrong or is it possible?<issue_comme... |
2019/04/12 | 610 | 2,274 | <issue_start>username_0: Projected Bellman error has shown to be stable with linear function approximation. The technique is not at all new. I can only wonder why this technique is not adopted to use with non-linear function approximation (e.g. DQN)? Instead, a less theoretical justified target network is used.
I cou... |
2019/04/12 | 861 | 3,820 | <issue_start>username_0: I have searched on how Google or any map provider calculates distance between two coordinates. The closest I could find is [Haversine formula](http://www.movable-type.co.uk/scripts/latlong.html).
If I draw a straight line between two points, then Haversine formula can be helpful. But since no ... |
2019/04/12 | 1,291 | 5,287 | <issue_start>username_0: I am trying to understand how alpha zero works, but there is one point that I have problems understanding, even after reading several different explanations. As I understand it (see for example <https://applied-data.science/static/main/res/alpha_go_zero_cheat_sheet.png>), alpha zero does not pe... |
2019/04/13 | 1,098 | 4,713 | <issue_start>username_0: I came across an article, [The Bitter Truth](http://www.incompleteideas.net/IncIdeas/BitterLesson.html), via the [Two Minute Papers](https://www.youtube.com/watch?v=wEgq6sT1uq8) YouTube Channel. <NAME> says...
>
> One thing that should be learned from the bitter lesson is the great power of g... |
2019/04/14 | 1,373 | 6,122 | <issue_start>username_0: I'm building a generative adversarial network that generates images based on an input image. From the literature I've read on GANs, it seems that the generator takes in a random variable and uses it to generate an image.
If I were to have the generator receive an input image, would it no longe... |
2019/04/15 | 327 | 1,414 | <issue_start>username_0: I'm wondering if AI now can help us abstract summary or general idea of long article, for example novel or historical stories, or abstract most important keyword from sentence;
Would you please tell me if any of this kind of project is done?
I wish I can improve my reading speed and effective... |
2019/04/15 | 319 | 1,351 | <issue_start>username_0: Is there an AI application that can produce syntactically (and semantically) correct sentences given a bag of words? For example, suppose I am given the words "cat", "fish", and "lake", then one possible sentence could be "cat eats fish by the lake".<issue_comment>username_1: Yes. Text summaris... |
2019/04/15 | 547 | 1,899 | <issue_start>username_0: Do we have cross-language vector space for word embedding?
When measure similarity for apple/Pomme/mela/Lacus/苹果/りんご, they should be the same
If would be great if there's available internet service of neuron network which already be trained by multiple language<issue_comment>username_1: You c... |
2019/04/16 | 505 | 1,758 | <issue_start>username_0: How can the A\* algorithm be optimized?
Any references that shows the optimization of A\* algorithm are also appreciated.<issue_comment>username_1: You can try to read about MUSE (Multilingual Unsupervised and Supervised Embeddings) by Facebook. You can read it [from its Github](https://github... |
2019/04/17 | 724 | 2,628 | <issue_start>username_0: In section 3.2.1 of [Attention Is All You Need](https://arxiv.org/pdf/1706.03762.pdf) the claim is made that:
>
> Dot-product attention is identical to our algorithm, except for the scaling factor of $\frac{1}{\sqrt{d\_k}}$. Additive attention computes the compatibility function using a feed-... |
2019/04/19 | 563 | 2,077 | <issue_start>username_0: I have looked at the documentation for the NEAT Python API found [here](https://neat-python.readthedocs.io/en/latest/xor_example.html), where it's written
>
> The error for each genome is $1-\sum\_i(e\_i-a\_i)^2$
>
>
>
I have not yet learned calculus, so I can't understand this formula. S... |
2019/04/21 | 768 | 2,974 | <issue_start>username_0: Nowadays, robots or artificial agents often only perform the specific task they have been programmed to do.
Will we be able to build an artificial intelligence that feels empathy, that understands the emotions and feelings of humans, and, based on that, act accordingly?<issue_comment>username_... |
2019/04/22 | 965 | 3,643 | <issue_start>username_0: I wrote a convolutional neural network for the MNIST dataset with Numpy from scratch. I am currently trying to understand every part and calculation.
But one thing I noticed was the "just positive" derivative of the ReLU function.
My network structure is the following:
* (Input 28x28)
* Conv ... |
2019/04/22 | 817 | 3,222 | <issue_start>username_0: Suppose I have a standard image classification problem (i.e. CNN is shown a single image and predicts a single classification for it). If I were to use bounding boxes to surround the target image (i.e. convert this into an object detection problem), would this increase classification accuracy p... |
2019/04/23 | 1,550 | 6,670 | <issue_start>username_0: It seems that deep neural networks and other neural network based models are dominating many current areas like computer vision, object classification, reinforcement learning, etc.
Are there domains where SVMs (or other models) are still producing state-of-the-art results?<issue_comment>userna... |
2019/04/23 | 1,684 | 5,744 | <issue_start>username_0: We often train neural networks by optimizing the mean squared error (MSE), which is an equation of a parabola $y=x^2$, with gradient descent.
We also say that weight adjustment in a neural network by the gradient descent algorithm can hit a local minimum and get stuck in there.
How are multip... |
2019/04/24 | 894 | 3,207 | <issue_start>username_0: Following the **DQN algorithm** with experience replay:
Store transition $\left(\phi\_{t}, a\_{t}, r\_{t}, \phi\_{t+1}\right)$ in $D$ Sample random minibatch of transitions $\left(\phi\_{j}, a\_{j}, r\_{j}, \phi\_{j+1}\right)$ from $D$ Set
$$y\_{j}=\left\{\begin{array}{cc}r\_{j} & \text { if ... |
2019/04/26 | 944 | 4,320 | <issue_start>username_0: I have an idea for a new type of AI for two-player games with alternating turns, like chess, checkers, connect four, and so on.
A little background: Traditionally engines for such games have used the minimax algorithm combined with a heuristic function when a certain depth has been reached to ... |
2019/04/26 | 714 | 3,053 | <issue_start>username_0: I want to create a simple game which basically consists of 2d circles shooting smaller circles at each other (to make hitbox detection easier for the start). My goal is to create an ai which adapts its own behaviour to the player‘s. For that, i want to use a NN as brain. Every frame, the NN is ... |
2019/04/26 | 567 | 2,126 | <issue_start>username_0: Which libraries can be used for image caption generation?<issue_comment>username_1: I've been read from some blogs, for image caption generation you can use concepts of a CNN and LSTM model and build a working model of Image caption generator by implementing CNN with LSTM. I think before you wa... |
2019/04/27 | 1,780 | 5,118 | <issue_start>username_0: The AI must predict the next number in a given sequence of incremental integers (with no obvious pattern) using Python but so far I don't get the intended result!
I tried changing the learning rate and iterations but so far no luck!
Example sequence: [1, 3, 7, 8, 21, 49, 76, 224]
Expected res... |
2019/04/28 | 1,828 | 7,258 | <issue_start>username_0: These guys here: <https://www.patreon.com/AiAngel> are saying that they've created a AI who can chat and stream. As the so-called administrator "Rogue" said:
[](https://i.stack.imgur.com/MEGez.png)
this chat/streamer bot are ... |
2019/04/28 | 1,031 | 4,293 | <issue_start>username_0: Surprisingly, this wasn't asked before - at least I didn't find anything besides some [vaguely related questions.](https://ai.stackexchange.com/q/11717/2444)
So, what is a recurrent neural network, and what are their advantages over regular (or feed-forward) neural networks?<issue_comment>user... |
2019/04/30 | 446 | 1,686 | <issue_start>username_0: There are multiple ways to implement parallelism in reinforcement learning. One is to use parallel workers running in their own environments to collect data in parallel, instead of using replay memory buffers (this is how A3C works, for example).
However, there are methods, like PPO, that use ... |
2019/04/30 | 1,448 | 6,137 | <issue_start>username_0: What are the areas/algorithms that belong to reinforcement learning?
TD(0), Q-Learning and SARSA are all temporal-difference algorithms, which belong to the reinforcement learning area, but is there more to it?
Are the dynamic programming algorithms, such as policy iteration and value iterati... |
2019/05/01 | 396 | 1,638 | <issue_start>username_0: Can a normal neural network work as good as a convolutional network? If yes, how much more time and neurons would it need compared to a CNN?<issue_comment>username_1: *NNs won't be able to reach the performance of CNNs, in general.*
By a Neural Network, I am assuming you're pointing to 'vanill... |
2019/05/02 | 662 | 2,538 | <issue_start>username_0: Today, AI is mainly driven by own-profit-oriented companies (e.g. Facebook, Amazon, Google). Admittedly, there's a lot of AI in the health sector (even in the public health sector) and there's a lot of AI in the sustainability sector – but also mostly driven by obviously own-profit-oriented com... |
2019/05/02 | 1,904 | 8,581 | <issue_start>username_0: This might be a trivial question but I couldn't find any reliable answers on the internet.
Almost all the neural network architectures for self-driving cars that I have seen on the internet have a feedforward network, previous frames will not help in making the current decision.
I have read s... |
2019/05/04 | 1,005 | 4,320 | <issue_start>username_0: Suppose I have an MDP $(S, A, p, R)$ where the $p(s\_j|s\_i,a\_i)$ is uniform, i.e given an state $s\_i$ and an action $a\_i$ all states $s\_j$ are equally probable.
Now I want to find an optimal policy for this MDP. Can I just apply the usual methods like policy gradients, actor-critic to fin... |
2019/05/05 | 927 | 3,741 | <issue_start>username_0: With the increasing complexity of reCAPTCHA, I wondered about the existence of some problem, that only a human will ever be able to solve (or that AI won't be able to solve as long as it doesn't reproduce exactly the human brain).
For instance, the distorted text used to be only possible to so... |
2019/05/05 | 838 | 3,416 | <issue_start>username_0: The [Prioritized Experience Replay](https://arxiv.org/pdf/1511.05952.pdf) paper gives two different ways of sampling from the replay buffer. One, called "proportional prioritization", assigns each transition a priority proportional to its TD-error.
$$p\_i = |\delta\_i|+\epsilon$$
The other, c... |
2019/05/06 | 584 | 2,420 | <issue_start>username_0: There are different kinds of machine learning algorithms, both univariate and multivariate, that are used for time series forecasting: for example ARIMA, VAR or AR.
Why is it harder (compared to classical models like ARIMA) to achieve good results using neural network based algorithms (like AN... |
2019/05/07 | 831 | 3,586 | <issue_start>username_0: *I hope this question is ok here, but since I have found a tag which deals with these issues (profession), I'll ask away. I also hope this may be useful to other people with similar doubts, since I am failing to find valuable information on this topic online.*
---
I am interested in the theor... |
2019/05/10 | 932 | 3,904 | <issue_start>username_0: I am reading the paper Convolutional Sequence to Sequence Learning by Facebook AI researchers and having trouble to understand how the dimensions of convolutional filters work here. Please take a look at the relevant part of the paper below.
[ or action space, like a robot in a grid world, but is there a way to use Q-learning for continuous spaces like the control of a pendulum?<issue_comment>username_1: Q-learning for... |
2019/05/12 | 1,549 | 7,055 | <issue_start>username_0: How do you actually decide what reward value to give for each action in a given state for an environment?
Is this purely experimental and down to the programmer of the environment? So, is it a heuristic approach of simply trying different reward values and see how the learning process shapes u... |
2019/05/12 | 1,133 | 4,594 | <issue_start>username_0: What's the differences between [semi-supervised learning and self-supervised visual representation learning](https://www.scihive.org/paper/1905.03670), and how they are connected?<issue_comment>username_1: ### Semi-supervised learning
[Semi-supervised learning](https://en.wikipedia.org/wiki/Se... |
2019/05/12 | 2,422 | 7,983 | <issue_start>username_0: In reinforcement learning, there are the concepts of stochastic (or probabilistic) and deterministic policies. What is the difference between them?<issue_comment>username_1: A **deterministic policy** is a function of the form $\pi\_{\mathbb{d}}: S \rightarrow A$, that is, a function from the s... |
2019/05/14 | 830 | 3,084 | <issue_start>username_0: I've got a Lego Mindstorms EV3 with [EV3DEV](https://www.ev3dev.org/) and EV3-Python installed. I wanted to try out artificial intelligence with the robot, and my first project is going to be to get the robot to try and recognize some images (using convolutions) and do an action related to the ... |
2019/05/15 | 1,008 | 3,856 | <issue_start>username_0: **Dataset Description**
I am working on the famous ABIDE Autism Datasets. The dataset is very big in the sense that it has more than 1000 subjects containing half of them as autistic and the other half as healthy controls. The dataset is taken from 17 sites across the world and each site used ... |
2019/05/15 | 337 | 1,522 | <issue_start>username_0: I found Sentiment Analysis and Emotion Recognition as two different categories on [paperswithcode.com](https://paperswithcode.com/). Should both be the same as my understanding? If not what's the difference?<issue_comment>username_1: Sentiment in this context refers to evaluations, typically po... |
2019/05/16 | 626 | 2,571 | <issue_start>username_0: Below you have the plots of the training and validation errors for two different models. Both plots show the RMSE values for the validation dataset versus the number of training epochs. It is observed that models get lower RMSE value as training progresses.
The model associated with the first ... |
2019/05/16 | 559 | 1,850 | <issue_start>username_0: I have a dataset as follows
[](https://i.stack.imgur.com/pJIKM.png)
(and the table extends to include an extra 146 columns for companies 4-149)
Is there an algorithm I could use effectively to find similar patterns in sales ... |
2019/05/16 | 468 | 1,551 | <issue_start>username_0: In LeNet 5's first layer, the number of feature maps is equal to the number of kernels. However, the second convolutional layer has a depth different from the 3rd layer. Does the filter size dictate the number of feature maps?<issue_comment>username_1: I would recommend a [hierarchical cluster ... |
2019/05/16 | 555 | 1,977 | <issue_start>username_0: At the moment I am working on a vehicle counting & classification project.
For a specific part in the project I need to get back only the completely visible vehicles from my input data (images). I am wondering if this could be done (more) automatically in the following way:
1. zoom in such th... |
2019/05/16 | 877 | 3,433 | <issue_start>username_0: Understandably RNNs are very good at solving problems involving audio, video and text processing due to the arbitrary input's length of this sort of data.
What I don't understand is why RNNs are also superior at predicting time series data and why we use them over simple MLP DNNs.
Say I wante... |
2019/05/17 | 828 | 3,322 | <issue_start>username_0: Right now, I am trying to synthesize training images for a CNN and due to the nature of the application, there is a finite number of sample images to learn from.
From other research, I expect to be using about 200,000 training images at a resolution of 1280\*720, which with 3 channel at 8 bits... |
2019/05/17 | 1,833 | 7,641 | <issue_start>username_0: I am new in the field of AI. I am working to create the flappy bird using Genetic Algorithm. After reading and seeing some examples, I saw that most implementations use a Neural Network + Genetic Algorithm and after certain generations, you achieve a very good agent that survives very long.
I ... |
2019/05/18 | 1,593 | 7,112 | <issue_start>username_0: I've been doing some reading about GANs, and although I've seen several excellent examples of *implementations*, the descriptions of why those patterns were chosen isn't clear to me in many cases.
At a very high level, the purpose of the **discriminator** in a GAN is establish a **loss functio... |
2019/05/19 | 368 | 1,604 | <issue_start>username_0: I've been studying Branch and Bound's graph algorithm and I hear it always finds the optimal path because it uses previously found solutions to find others
However, I haven't been able to find a proof of why it finds the optimal path. (In fact, most sites kind of do a bad job generalizing the ... |
2019/05/19 | 556 | 1,536 | <issue_start>username_0: I have a `.csv` file called `ratings.csv` with the following structure:
```
userID, movieID, rating
3, 12, 5
2, 7, 6
```
The rating scale goes from 0 to 5 stars. I want to be able to plot the sparsity of the matrix like it's done in the following picture:
[. More specifically, I am trying to figure out what $\lambda$ I need, such that $\text{TD}(\lambda)=\text{TD}(1)$, after one iteration. But I get the incorrect valu... |
2019/05/20 | 1,094 | 2,890 | <issue_start>username_0: I have a fairly large dataset consisting of different images with and without persons that I want to use for a project.
The problem is that I only want the pictures that contain faces, and it is best if there is only a crop of the face.
I already looked at Facenet and Openface, but I thought ... |
2019/05/20 | 364 | 1,407 | <issue_start>username_0: I'm studying convolutional neural networks from the following article <https://ujjwalkarn.me/2016/08/11/intuitive-explanation-convnets/>.
If we take a grayscale image, the value of the pixel will be between 0 and 255. Now, if we apply a filter to our "new image", can we have pixels whose value... |
2019/05/20 | 1,433 | 4,414 | <issue_start>username_0: I have come across something that IBM offers called *neural architecture search*. You feed it a data set and it outputs an initial neural architecture that you can train.
How is *neural architecture search* (NAS) performed? Do they use heuristics, or is this meta machine learning?
If you have... |
2019/05/21 | 962 | 3,656 | <issue_start>username_0: What is a simple turn-based game, that can be used to validate a Monte-Carlo Tree Search code and it's parameters?
Before applying it to problems where I do not have a possiblity to validate its moves for correctness, I would like to implement a test case, that makes sure that it behaves as ex... |
2019/05/21 | 862 | 3,004 | <issue_start>username_0: I am using the following library:
<https://github.com/vishnugh/evo-NEAT>
which seems to be a pretty simple NEAT-implementation.
Therefore I am using the following Config:
```
package com.evo.NEAT.com.evo.NEAT.config;
/**
* Created by vishnughosh on 01/03/17.
*/
public class NEAT_Config {
... |
2019/05/20 | 669 | 2,607 | <issue_start>username_0: I’ve been thinking about this for a few days and can’t tell if this would feel morally just to an average user<issue_comment>username_1: Ethics aside, I think this could potentially create a number of different issues. What if your algorithm guesses wrong and I'm stuck with a UI that's targetin... |
2019/05/22 | 662 | 2,829 | <issue_start>username_0: Are there any open sourced algorithms that can take a couple of images as an input and generate a new, similar image based on that input? Or are there any resources where I can learn to create such an algorithm?<issue_comment>username_1: I'm not an expert on that so you could probably get a bet... |
2019/05/22 | 545 | 2,208 | <issue_start>username_0: I'm currently working on a group project where we need to find a pattern in a given dataset. The dataset is a collection of X, Y, Z values of a gyroscope from someone who is walking. If you plot these values you'll get a result like this.
[](h... |
2019/05/23 | 1,416 | 5,950 | <issue_start>username_0: Can the decoder in a transformer model be parallelized like the encoder?
As far as I understand, the encoder has all the tokens in the sequence to compute the self-attention scores. But for a decoder, this is not possible (in both training and testing), as self-attention is calculated based on... |
2019/05/24 | 1,328 | 4,722 | <issue_start>username_0: **What is the advantage of using a VAE over a deterministic auto-encoder?**
For example, assuming we have just 2 labels, a deterministic auto-encoder will always map a given image to the same latent vector. However, one expects that after the training, the 2 classes will form separate clusters... |
2019/05/24 | 699 | 2,933 | <issue_start>username_0: I just learned about GAN and I'm a little bit confused about the naming of Latent Vector.
* First, In my understanding, a definition of a latent variable is a random variable that can't be measured directly (we needs some calculation from other variables to get its value). For example, knowled... |
2019/05/24 | 1,104 | 4,245 | <issue_start>username_0: No matter what I google or what paper I read, I can't find an answer to my question. In a deep convolutional neural network, let's say AlexNet (Krizhevsky, 2012), filters' weights are learned by means of back-prop.
But how are kernels themselves selected? I know kernels had been used in image ... |
2019/05/24 | 537 | 2,066 | <issue_start>username_0: If I use a desktop PC with a GPU, how long it might take to train face recognition deep neural network on let's say dataset of 2.6 million images and 2600 identities? I guess it should depend on various properties (e.g., type of the DNN). But I am just looking for a rough estimation. Is it a ma... |
2019/05/25 | 1,324 | 5,765 | <issue_start>username_0: I'm trying to learn neural networks by watching [this series of videos](https://www.youtube.com/watch?v=tIeHLnjs5U8&t=17s) and implementing a simple neural network in Python.
Here's one of the things I'm wondering about: I'm training the neural network on sample data, and I've got 1,000 sample... |
2019/05/27 | 1,815 | 7,071 | <issue_start>username_0: What is the definition of machine learning? What are the advantages of machine learning?<issue_comment>username_1: ### What is machine learning?
Machine learning (ML) has been defined by multiple people in similar (or related) ways.
<NAME>, in his book [Machine Learning](http://www.cs.ubbcluj... |
2019/05/28 | 740 | 2,926 | <issue_start>username_0: When training a neural network, we often run into the issue of overfitting.
However, is it possible to put overfitting to use? Basically, my idea is, instead of storing a large dataset in a database, you can just train a neural network on the *entire* dataset until it overfits as much as possi... |
2019/05/28 | 1,038 | 4,100 | <issue_start>username_0: In the book "Reinforcement Learning: An Introduction" (2018) Sutton and Barto define the prediction objective ($\overline{VE}$) as follows (page 199):
$$\overline{VE}\doteq\sum\_{s\epsilon S} \mu(s)[v\_{\pi}(s)-\hat{v}(s,w)]^2$$
Where $v\_{\pi}(s)$ is the true value of $s$ and $\hat{v}(s,w)$ is... |
2019/05/30 | 367 | 1,312 | <issue_start>username_0: How can I implement a GAN network for text (review) generation?
Please, can someone guide me to resource (code) to help in text generation?<issue_comment>username_1: For the resources, you can refer to this:
<https://becominghuman.ai/generative-adversarial-networks-for-text-generation-part-1-2... |
2019/05/31 | 1,056 | 3,970 | <issue_start>username_0: I read that a mix of "greedy" and "random" are ideal for stochastic local search (SLS), but I'm not sure why. It mentioned that the greedy finds the local minima and the randomness avoids getting trapped by the minima. What is the minima and how can you get trapped? Also, how does randomness av... |
2019/05/31 | 937 | 2,477 | <issue_start>username_0: The MSE can be defined as $(\hat{y} - y)^2$, which should be equal to $(y - \hat{y})^2$, but I think their derivative is different, so I am confused of what derivative will I use for computing my gradient. Can someone explain for me what term to use?<issue_comment>username_1: The derivative is ... |
2019/05/31 | 930 | 2,487 | <issue_start>username_0: I wonder if Virtual Reality (VR), Augmented Reality (AR) and Mixed Reality (MR) use any machine learning or deep learning?
For example in AR, the virtual objects are brought into the real world, does this process involve any object detection and localization?<issue_comment>username_1: The deri... |
2019/06/03 | 5,705 | 22,534 | <issue_start>username_0: As an AI layman, till today I am confused by the promised and achieved improvements of automated translation.
My impression is: **there is still a very, very far way to go.** Or are there other explanations why the automated translations (offered and provided e.g. by Google) of quite simple Wi... |
2019/06/03 | 287 | 1,028 | <issue_start>username_0: Stories like [this](https://aiweirdness.com/post/185339301987/once-again-a-neural-net-tries-to-name-cats) one are quite popular these days.
The idea of training a neural net to do something silly like this may sound trivial to experts like you, but for a novice like me it could be an interesti... |