Questions tagged [python]
For questions related to AI implementation in the Python language
183
questions
0
votes
0answers
31 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
vote
0answers
23 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 ...
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 ...
2
votes
0answers
13 views
How to choose the suitable Neural Network Architecture for Regression Tasks
so I'm working on a Project where I want to predict the Vehicle Position from the Vehicle Data like speed, acceleration etc.. now the data that I have comes also with a timestamp for each sample ( I ...
1
vote
1answer
31 views
Can A.I/Deep Learning use one image as content for another image?
Is it possible for A.I to redraw an image in a new context?
More specifically, suppose I take a photo of a notebook. I get the angle, lighting and perspective perfect. Now I copy an image I found ...
0
votes
0answers
23 views
How to calculate covariance matrix of the mini-batch in the k-th layer using Python?
I am a beginner in Python. I want to calculate the covariance matrix of a mini-batch in a given hidden layer.
1
vote
0answers
79 views
+50
Why the loss keep increasing during training?
I'm trying to use TensorFlow and this how I compute the loss
...
2
votes
0answers
30 views
How to control the switches of a railway track with Artificial Intelligence?
Usually, it's very complicated to program a real time strategy game from scratch. Notable examples like Lemmings or Starcraft are software projects with a large amount of codelines. A much easier ...
3
votes
1answer
33 views
Why is batch gradient descent performing worse than stochastic and minibatch gradient descent?
I have implemented a neural network from scratch (only using numpy) and I am having problems understanding why the results are so different between stochastic/minibatch gradient descent and batch ...
2
votes
0answers
25 views
how to use Softmax action selection algorithm in atari-like game
I'm currently writing a program using keras (python 3) to play a game similar to Atari games, only in this one there are objects moving in the screen in different angles and directions (in most of ...
4
votes
1answer
37 views
How Machine Learning Studies Correlation?
This is my problem:
I have 10 variables that I intend to evaluate two by two (in pairs). I want to know which variables have the strongest relationships with each other. And I'm only interested in ...
-2
votes
1answer
54 views
Python ERROR: No matching distribution found for tensorflow [closed]
Now as I understand that kind of technical questions is out of scope
for the ai.stackexchange.com I will use stackexchange.com for such technical questions.
Thank you for you all for your ...
0
votes
0answers
17 views
Matterport MRCNN and multiclass classification
I want to create a model which solve a multiclass classification problem.
The main concept is:
every picture contain only one object
the background is very simple
all object is coming from the same ...
1
vote
0answers
28 views
I am trying to create a network with dynamic connections for every different training example
I have developed a new algorithm which has dynamic connections. it is based off of the following paper:
https://www.researchgate.net/publication/...
0
votes
1answer
179 views
'numpy.ndarray' object is not callable error [closed]
I want to find optimize minimum value but it shows 'numpy.ndarray' object is not callable error.
This is my code in python
...
1
vote
1answer
31 views
Can ConvLSTMs outuput images?
I am working on an image to image regression task which requires me to develop a deep learning model that takes in a sequence of 5 images and return another image. The sequence of 5 images and the ...
2
votes
0answers
34 views
Image to image regression in tensorflow
I am working on an image to image regression task which requires me to develop a deep learning model that takes in a sequence of 5 images and return another image. The sequence of 5 images and the ...
1
vote
0answers
40 views
How can construct python programming environment? [closed]
Now, I don't have full experiences with python using anaconda, so help me.
In anaconda how can I use python in the field of object tracking.
0
votes
0answers
17 views
Suggestions for Deep Learning for regression on huge 3D volumes
I have a dataset of 3D images (volumes) with dimensions 400x250x400. For each input image I have an output of the same dimensions. I would like to train a machine learning (or deep learning) model on ...
0
votes
0answers
12 views
How to use FSICFR (or CFRM) trained result in real dice game playing
I trained a Liar Dice game (similar rule please refer to https://www.wikihow.com/Play-Liar%27s-Dice , and i am using 2 player + 1 dice vs 1 dice) with FSICFR algorithm and got an information set with ...
4
votes
2answers
108 views
Is it possible to teach an AI to edit video content?
Every week I will get a lot of videos from a game that I play, outside the game where you throw wooden skittle bats at skittles, and then I will cut videos, so that, at the end. there is video only ...
1
vote
1answer
74 views
Deep Q Learning Algorithm for Simple Python Game makes player stuck
I made a simple Python game. A screenshot is below:
Basically, a paddle moves left and right catching particles. Some make you lose points while others make you gains points.
This is my first Deep Q ...
30
votes
8answers
13k views
Is a switch from R to Python worth it?
I just finished a 1-year Data Science master's program where we were taught R. I found that Python is more popular and has a larger community in AI.
Is it worth for someone in my position to switch ...
0
votes
1answer
53 views
How to train a LSTM model with multi dimensional data
I am trying to train my model using LTSM layer in Keras (python). I have some problems regarding the data representation and feeding it into the model.
My data is 184 XY coodinates encoded as a numpy ...
1
vote
0answers
10 views
Extracting Descriptors and feature points for 3d mesh
I'm programming my work with python, and I have a mesh and I want to extract 3d descriptors and feature points from it( trying to work on multi-scale strategy) , to visualize them later on the mesh,
...
2
votes
0answers
40 views
Grouped Text classification
I have thousands groups of paragraphs and I need to classify these paragraphs. The problem is that I need to classify each paragraph based on other paragraphs in the group! For example, a paragraph ...
0
votes
0answers
33 views
Understanding policy update in PPO2
I have a question regarding the functionality of the PPO2 algorithm together with the Stable Baselines implementation:
From the original paper I know that the policy parameters $\theta$ are updated K-...
1
vote
0answers
24 views
AI for Warcraft 3 Dota
I want to create AI for Dota1. Is it possible to create AI for Warcraft 3? How Open AI works in Dota2? I want to know more about algorithms what are in foundation in Open AI.
1
vote
0answers
18 views
i have trained my model & now trying to predict but unable to do using keras
i have trained my model & now trying to predict but unable to do please help.
trying to predict cat or dog
stuck in "prediction"
...
3
votes
1answer
97 views
Which approach can I use to generate text based on multiple inputs?
I have a little experience in building various models, but I've never created anything like this, so just wondering if I can be pointed in the right direction.
I want to create (in python) a model ...
0
votes
0answers
25 views
Understanding log probabilities of actions in PPO objective
I'm trying to implement Proximal Policy Optimization algorithm (code here) but am confused about certain concepts:-
1) What is the correct way to implement log probability of a policy (denoted by ...
0
votes
1answer
36 views
Entropy term in Proximal Policy Optimization (PPO) becomes undefined after few training epochs
I have implemented the total loss of my PPO objective as follows:-
...
0
votes
0answers
14 views
Why are my convolutional layer activations large and saturating the softmax function?
I implemented a neural network in python from scratch (The github repo to it.).
It works reasonably well and I benchmarked different designs using convolutional layers on MNIST and it worked better ...
0
votes
0answers
32 views
Understanding CNN+LSTM concept with attention and need help
I have a question about the context of CNN and LSTM. I have trained a CNN network for image classification. However, I would like to combine it with LSTM for visualizing the attention weights. So, I ...
0
votes
1answer
99 views
How to Mask an image using Numpy/OpenCV?
I am detecting wheels with a deep learning algorithm. The algorithm gives me the coordinates of those rectangles. I want to keep data that is in the rectangles of the image. I created rectangles as a ...
0
votes
1answer
22 views
How to rescale data to its original range after MinMaxScaler?
I'm using sklearn's MinMaxScaler in order to scale my data down. However, it would be nice to be able to rescale it back to its original range. Is there any way I ...
0
votes
1answer
28 views
How can I perform multivariable regression with neural networks?
I want to use a neural network to perform a multivariable regression, where my dataset contains multiple features, but I can't for the life of me figure it out. Every kind of tutorial on the internet ...
0
votes
1answer
40 views
Why does keras model get bigger after training?
I notice that I create a model using tensorflow.keras.Sequential(), save it and the file size is around 5 MiB, but after I call ...
1
vote
1answer
23 views
Better to learn the same small set for multiple epochs then go to the next or learn from each one time repeatedly for multiple times?
I don't know if I worded the title correctly.
I have a big dataset (300000 of images after augumentation) and I've splitted it into 10 parts, because I can't convert the images into a numpy and save ...
3
votes
1answer
66 views
Which models accept numerical parameters and produce a numerical output?
I need a model that will take in a few numerical parameters, and give back a numerical answer (Context: predicting a slope based on environmental factors without having to actually take measurements ...
0
votes
0answers
11 views
Scikit-Learn: monotoneous quantile estimation
I would like to implement various AI-estimators for quantile estimation for a regression problem. It would be necessary to have non-crossing quantiles, that is larger quantiles would correspond to ...
0
votes
0answers
20 views
How to implement Multiple Neural network architecture, connected in parallel and series in Keras or Pytorch
Hello Dear StackExchange members,
I want to make a deep network as shown in the image. I want each 'network 1 to look at the specific part of the input and I don't want to divide my input beforehand ...
1
vote
1answer
93 views
Reinforcement learning to play snake - network seems to not get trained at all
I am trying to build a network able to play snake game. This is my very first attempt to do such stuff. Unfortunately, I've stuck and even have no idea how to reason about the problem.
I use ...
0
votes
0answers
144 views
Applying a 1D convolution for 4D input
i'm trying to implement this paper and I'm stuck for quite some time now. Here is the issue:
I have a 3D tensor and has (180,200,20) as dimension and I'm trying ...
3
votes
1answer
57 views
DQN in stochastic environment
I'm trying to apply a DQN to a stochastic environment but i'm having trouble getting it to converge.
I found some similar questions asked here, but no solutions yet.
I can fairly easy get the DQN to ...
2
votes
0answers
21 views
How to voxelize multiple frames at the time and append them together?
I'm trying to implement this approach for object detection and tracking.
In this approach, the first step is voxelize each frame to construct a 3D tensor, the second step is to append multiple voxels ...
0
votes
0answers
15 views
Issues related to RoI Pooling in keras
I am trying to do RoI pooling of an image whose RoI bounding box coordinates are known to me. Can anyone provide me the code for doing the same? I have read many repositories but I didn't get any ...
-2
votes
1answer
96 views
Problem over DQN Algorithm not converging on snake
I'm using a DQN Algorithm to play Snake.
The input of the neural network is a stack of 4 images taken from the games 80x80.
The output is an array of 4 values, one for every direction.
The problem ...
0
votes
1answer
24 views
Intermittent type error when operating CNN inside Docker container
I've been working on a simple computer vision API with a few endpoints for grabbing useful information from ebay images. The API lives in a docker container that looks for the h5 files, downloads ...
3
votes
0answers
72 views
Deep Q-Network (DQN) to learn the game 2048
I am trying to build a Deep Q-Network (DQN) agent that can learn to play the game 2048. I am orientating myself on other programs and articles that are based on the game snake and it worked well (...
