# All Questions

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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. ...
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 ...
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 ...
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 ...
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?
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. ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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} \...
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 ...
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 ...
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 ...
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 ...
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: ...
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 ...
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 ...
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?
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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?...
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 ...
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 ...
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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.
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 ...
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 ...
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: ...
51 views
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### 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 ...
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 ...
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 ...