Questions tagged [python]
For questions related to AI implementation in the Python language
202
questions
1
vote
0answers
19 views
Why isn't this deep Q network agent for the snake game learning?
I wanted to combine this snake game with this DQN implementation I found in this article.
First, I tried to change the NN's input layer to a 400 input. The game has a field of 20 times 20, so I ...
0
votes
0answers
34 views
How to get layers outputs during training at each mini-batch? [closed]
The method model.fit() is used to train the neural network. How can I get the output from any hidden layer during training?
3
votes
1answer
61 views
How can I minimise the false positives?
I have 50,000 samples. Of these 23,000 belong to the desired class $A$. I can sacrifice the number of instances that are classified as belonging to the desired class $A$. It will be enough for me to ...
2
votes
1answer
27 views
How to reduce variance of the model loss during training?
I know that stochastic gradient descent always gives different results. What are the best practices to reduce this variance today?
I tried to predict simple function with two different approaches and ...
2
votes
0answers
24 views
How would one develop an action space for a game that is proprietary?
I'm currently trying to develop an RL that will teach itself to play the popular fighting game "Tekken 7". I initially had the idea of teaching it to play generally- against actual opponents with ...
2
votes
1answer
64 views
Are there any public real-life code examples of ML applications in Python?
Problems I often face at work usually differ from tutorial or book-like examples so I end up with a code that works but it's not elegant and takes too much time to write.
I wanted to ask you if there ...
2
votes
0answers
14 views
Calculation of Neural network biases in backpropagation
While learning neural networks I've found a basic Python working example to play with. It has 3 input nodes, 4 nodes in a hidden layer, 1 output node. 5 data sets for training.
The initial code is ...
0
votes
0answers
16 views
Same implementation, but agent is not learning in Retro Pong Environment
I tried to implement the exact same python coding by Andrej Karpathy to train RL agent to play Pong, except that I migrated the environment from Gym to Retro.
Everything is the same except the action ...
0
votes
0answers
7 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 ...
2
votes
1answer
35 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 ...
2
votes
1answer
49 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 ...
5
votes
1answer
58 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 ...
3
votes
2answers
28 views
Using a neural network to identify a stable region within a set of data?
I am working on a problem in which I am attempting to find a stable region in a spiral galaxy. The PI I'm working with asked me to use machine learning as a tool to solve the problem. I have created ...
0
votes
0answers
28 views
How could I locate certain words or numbers in a financial statement?
I would like to code a script that could locate a specific word or number in a financial statement. Financial statements roughly contain the same information, they are however not identical and ...
2
votes
0answers
52 views
Which machine learning algorithms can be used to build a recommendation system?
I am working on building a recommendation engine. I need to build a model that recommends similar items. Currently, I am using the Nearest Neighbor algorithm present in ...
1
vote
1answer
21 views
Is a VGG-based CNN model sometimes better for image classfication than a modern architecture?
I have an image classification task to solve, but based on quite simple/good terms:
There are only two classes (either good or not good)
The images always show the same kind of piece (either with or ...
2
votes
0answers
9 views
How to learn using DDPG in python solely using a timeseries datasets
I have a lengthy timeseries datasets which contains several variables (from sensors etc) to be classified as actions or states. Providing they are successfully done, I want to learn a control policy ...
1
vote
1answer
90 views
How to Extract Information from the Image
I'm trying to extract some particular information from the image(png).
I tried to extract the text using the below code
...
2
votes
1answer
44 views
when should I create a custom loss function?
Hi I'm using neural network to solve a multi regression problem. I'm trying to predict continuous values, to be more specific I'm making a tracking algorithm to track the position of an Object, I'm ...
1
vote
0answers
34 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
19 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
16 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
43 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
29 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.
2
votes
0answers
142 views
Why the loss keep increasing during training?
I'm trying to use TensorFlow and this how I compute the loss
...
2
votes
0answers
32 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
35 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
31 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
41 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
421 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
40 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
735 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
60 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
19 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
14 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
109 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
79 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 ...
31
votes
8answers
13k views
Is a switch from R to Python worth it? [closed]
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
55 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
12 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
45 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
29 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
20 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
105 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 ...
1
vote
0answers
38 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
50 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:-
...
