All Questions

Filter by
Sorted by
Tagged with
0
votes
0answers
18 views

Can the failure of self-driving cars defined on a social basis?

Before it's time to criticize self-driving cars, the starting point is to explain what is possible with today's AI algorithms easily. Creating an autonomous car for the TORCS simulator is possible. ...
1
vote
0answers
7 views

What Are the key Plugins And Features to implement in AI Assistant Personal Project?

Hope you're doing great I'm doing a personal project for android, I want to make an app in Android Studio. The App will be an AI Assistant Like Siri, Jarvis , etc. The idea in mind is to make the app ...
0
votes
0answers
2 views

Plot class activation heatmap of Caffe Model in Python

Given the following 3 research papers, the authors have shown different heatmap graphical representations for features of the trained CNN models: On the performance of Convnet feature for place ...
1
vote
3answers
25 views

What are examples of books or papers on the details of convolutional neural networks?

I'm studying a master's degree and my final work is going to be about the convolutional neural network. I read a lot of books and I did Convolutional Network Standford's course, but I need more. Are ...
1
vote
1answer
17 views

Training a Deep Learning in an End-to-End manner

Can anyone explain in simple words what training a deep learning framework in an end-to-end manner mean?
0
votes
0answers
11 views

Focal loss for imbalanced multi class classification in Pytorch

I want an example code for Focal loss in PyTorch for a model with three class prediction. My model outputs 3 probabilities. ...
1
vote
3answers
71 views

70/30% split vs cross validation and overfitting

I want to prevent my model from overfitting. I think that cross validation is the better (because it is doing this each time at different dataset), but a collegeau (my collegeaus have little ...
0
votes
0answers
8 views

How to do inference without tensorflow or pytorch packages?

I'd like to embed a simple NN/LSTM model (made with either Keras or PyTorch) into a python library. The library should be as light as possible with few external dependencies. That's why I'd like not ...
1
vote
0answers
15 views

Greedy Algorithm with State modelling

My Question Would it be viable to implement and also how would I go about implementing something like this, "AI Agent Rating State-machine"? Problem and constraints: An AI Agent is tasked with ...
2
votes
1answer
29 views

Can Google's patented ML algorithms be used commercially?

I just find that Google patents some of the widely used machine learning algorithms. For example: System and method for addressing overfitting in a neural network (Dropout?) Processing images using ...
1
vote
1answer
26 views

Making a CNN for phoneme classification

I was making a simple phoneme classification model for a 10 week-long class project and I ran into a small question. Is it possible, to create a model that takes a 1-second (the longest phoneme is 0.2 ...
0
votes
1answer
36 views

My neural net is not learning at all?

I have a set of 20000 data points ie whose inputs are series of 0's and 1's of dimension 40,while output ranges from [-20,-1] of dimension 150.I am using tensorflow.I used four hidden layers with 500 ...
3
votes
2answers
93 views

What is a “surrogate model”?

In the following paragraph from the book Automated Machine Learning: Methods, Systems, Challenges (by Frank Hutter et al.) In this section we first give a brief introduction to Bayesian ...
0
votes
0answers
13 views

How is the general return-based off-policy equation derived?

I'm wondering how is the general return-based off-policy equation in Safe and efficient off-policy reinforcement learning derived $$\mathcal{R} Q(x, a):=Q(x, a)+\mathbb{E}_{\mu}\left[\sum_{t \geq 0} \...
1
vote
0answers
24 views

How should I make output layer of my neural network so that I can get outputs ranging from [-20,-1]

I am trying to make a neural network which takes in 0 and 1 as it's input and should give me output ranging from [-20,-1].I am using three layers with sigmoid as the activation function .How should I ...
3
votes
0answers
14 views

Why embedding layer is used in the character-level Natural Language Processing models

Problem Background I am working with a problem, which requires a character-level, deep learning model. Previously I was working with word-level deep NLP (Natural Language Processing) models, and in ...
1
vote
1answer
15 views

Best approach for 2D Grid Image Segmentation

I'm working on a project where I need to extract text from grocery discount flyers like the Costco announcement below (retrieved in a random google search, Costco is not the deal here): If I just run ...
2
votes
1answer
30 views

Is there any Python library available for manifold learning using diffusion map?

I would like to use unsupervised learning with a technique called diffusion map based manifold learning in Python. The original paper on the diffusion map is An Introduction to Diffusion Maps. I have ...
0
votes
1answer
16 views

Interpreting Keras Yolov3 config file

How does one interpret the "min_input_size", "max_input_size" and "anchors" fields in the Yolov3 config file here. In particular, suppose we have the following: ...
1
vote
1answer
27 views

If an image contains two distinct objects, should I create a copy of this image with distinct labels for each copy?

Suppose we want to detect whether an object is one of the following classes: $\text{Object}_1, \text{Object}_2, \text{Object}_3$ and $\text{Person}$. Should the annotated images only contain bounding ...
1
vote
1answer
41 views

How can I merge two datasets? [on hold]

I want to merge 2 data sets in one, but don't know the right approach to do it. The datasets are similar, the last column is the same - will or not them buy a product. In the first dataset, users who ...
4
votes
1answer
138 views

What is the reason AMD Radeon is not widely used for machine learning and deep learning?

What is the reason AMD Radeon is not widely used for machine learning and deep learning? Is it mainly an issue of lack of software? Or is Radeon's GPU not as good as NVIDIA's?
3
votes
0answers
25 views

What are the state-of-the-art results on the generalization ability of deep learning methods?

I've read a few classic papers on different architectures of deep CNNs used to solve varied image-related problems. I'm aware there's some paradox in how deep networks generalize well despite ...
0
votes
1answer
34 views

Is it possible to train a CNN to predict the dimensions of primitive objects from point clouds?

Is it possible to train a convolutional neural network (CNN) to predict the dimensions of primitive objects such as (spheres, cylinders, cuboids, etc.) from point clouds? The input to the CNN will be ...
3
votes
1answer
134 views

What's the difference between RMSE and Euclidean distance, and when to use a custom loss?

I'm searching for a loss function that fits my project. Actually, I have two questions, but they are in the same direction. I take a look at the definition of the root mean squared error (RMSE) and ...
1
vote
1answer
11 views

How to represent integer values in sequence to sequence prediction task in encoder-decoder LSTM?

I have a large 2D grid having 30k rows and 35k columns, so a total of 30x35k grid cells. Each grid cell is represented by a unique integer number (identity of grid cell). I have several trajectories ...
1
vote
0answers
24 views

Are there any general tips for troubleshooting a VAE when apparently it is not learning?

I am trying to train a VAE for anomaly detection. I chose one architecture from this Github repository and I adjusted the input and output to match what I need. In my case, the input (and hence the ...
2
votes
1answer
40 views

What is the fastest way to train a CNN with billions of examples?

I have a CNN model that I need to train for a large scale genomics application. It is working well with a subset of my training data. I have scaled up to a subset of about 130 million examples and ...
2
votes
1answer
60 views

What kind of hardware and software are required to build an AI system?

What kind of hardware (processor, memory, graphics card, etc.) and software are required to build an AI system? How do we go about linking each and every one of them to their proper place and function?...
-2
votes
1answer
55 views

Is robotics an end in itself? [on hold]

A very common answer why scientists are developing new robots is because they are trying to support existing robots. The idea is, that a robot doesn't fulfill external requirements, but it's main ...
1
vote
0answers
28 views

How to train LSTM score prediction with very little data? (Bounty to be added)

I am trying to make a text score prediction network, and my dataset have 500 samples only. I know there is a public dataset called the ASAP Dataset. I have tested my model ...
2
votes
0answers
21 views

Choosing neural network output for prediction (regression) of a dynamical system

I’m trying to train a neural network to approximate the output of a dynamical system $dy/dt=f\left(y(t), u(t) \right)$, namely, given $y(0)$ and $u(t_i), i=1,2...N$ I want the network to predict $y(...
5
votes
1answer
190 views

What is “conditioning” on a feature?

On page 98 of Jet Substructure at the Large Hadron Collider: A Review of Recent Advances in Theory and Machine Learning the author writes; Redacted phase space: Studying the distribution of inputs ...
0
votes
1answer
18 views

Is the Mask Needed for Masked Self-Attention During Inference with GPT-2

My understanding is that masked self-attention is necessary during training of GPT-2, as otherwise it would be able to directly see the correct next output at each iteration. My question is whether ...
2
votes
0answers
23 views

Imposing physical constraints (previous knowledge) in a neural network for regression

I'm trying to train a neural network to do a multiple non-linear regression $y=f(x_i), i=1,2…N$. So far it works good (low MSE), but some predictions $y$ are “non-physical”, for instance for our ...
3
votes
1answer
59 views

What needs to be done to make a fair algorithm?

What needs to be done to make a fair algorithm (supervised and unsupervised)? In this context, there is no consensus on the definition of fairness, so you can use the definition you find most ...
0
votes
0answers
6 views

How to measure object size from the disparity map using CNN?

I am a student learning about image processing using CNN. I want to learn how to measure the object size from the disparity map obtained from left and right stereo images.
0
votes
0answers
7 views

How to measure the size of an crack which is segmented from an image using Mask-RCNN?

I am a masters student going to work in a project to analyze the cracks in underwater concrete structures. I need some suggestions for data acquisition and length measurement of the crack. I have ...
1
vote
0answers
18 views

Why would the application of kernelization or boosting prevent underfitting?

I read in some paper that applying kernelization or boosting would prevent you from underfitting. Why is that?
3
votes
0answers
17 views

What evaluation metric are used for sequence-to-sequence prediction problems?

I am solving many sequence-to-sequence prediction problems using RNN/LSTM. What type of evaluation metrics can be used for sequence prediction problems? One metric is the mean squared error (MSE) ...
1
vote
0answers
46 views

How can I assign agents to tasks based on time and affinity?

I am working on an assignment problem. Consider $K$ agents $A_1, \dots A_K$ and $N$ tasks $T_1, \dots T_N$. Each task has a certain time $t(T_i)$ to be completed and each agent has a matching (or ...
2
votes
1answer
29 views

How to calculate the size of a 3d object from an image?

I am wondering how to calculate the size of a 3d object in an image without knowing the focal length of the camera but the distance from the camera to the object.
0
votes
0answers
8 views

Training methods for bipedal robot

I am looking to train a bipedal robot using unity as a scape with a genetic algorithm. I will import the CAD into unity so the hardware is exact. My questions: Is Unity physics accurate enough to ...
2
votes
1answer
51 views

What are causative and exploratory attacks in Adversarial Machine Learning?

I've been researching Adversarial Machine Learning and I know that causative attacks are when an attacker manipulates training data. An exploratory attack is when the attacker wants to find out about ...
0
votes
0answers
19 views

Can someone explain how and why actor-critic networks are created this way?

Deep Deterministic Policy Gradients (DDPG) and stable Baseline Code is presented here. The actor-critic networks are created as follows: ...
4
votes
1answer
51 views
+100

Context-based gap-fill face posture-mapper GAN

These images are handmade, not auto-generated like they will be in production. Apologies for inaccuracies in the graph overlay. I am trying to build an AI like that displayed in the diagram: when ...
2
votes
1answer
34 views

Pose estimation using CNNs on Point clouds

In the case of single shot detection of point clouds, that is the point cloud of an object is taken only from one camera view without any registration. Can a Convolutional Network estimate the 6d pose ...
0
votes
1answer
46 views

Do algorithms like OpenAI's “think up strategies”?

I was discussing with a friend whether current AI does anything remotely similar to 'thinking' and he argued that AIs that play games must think up strategies. While thinking may not be precisely ...
4
votes
1answer
48 views

Isn't deep fake detection bound to fail?

Deep fakes are a growing concern: the ability to credibly alter a video may have great (negative) impacts on our society. It is so much of a concern, that the biggest tech companies launched a ...
5
votes
1answer
52 views

How do I combine models trained on different data to increase classification accuracy?

I have two trained models. One is using a LinearSVC algorithm and is trained on numerical data from medical examination from patients with diabetic retinopathy. The second one is a neural network ...

15 30 50 per page