Questions tagged [training]

For questions about training networks, rules systems, or other AI system components.

87 questions with no upvoted or accepted answers
Filter by
Sorted by
Tagged with
9
votes
3answers
289 views

Can some one help me understand this paragraph from Nvidia's progressive gan paper?

Furthermore, we observe that mode collapses traditionally plaguing GANs tend to happen very quickly, over the course of a dozen minibatches. Commonly they start when the discriminator overshoots, ...
6
votes
2answers
68 views

Why do very deep non resnet architectures perform worse compared to shallower ones for the same iteration? Shouldn't they just train slower?

My understanding of the vanishing gradient problem in deep networks is that as backprop progresses through the layers the gradients become small, and thus training progresses slower. I'm having a hard ...
4
votes
0answers
49 views

Training and inference for highly-context-sensitive information

What is the best way to train / do inference when the context matters highly as to what the inferred result should be? For example in the image below all people are standing upright, but because of ...
3
votes
0answers
17 views

How to organize model training hyperparameters

I am working on multiple deep learning projects, most of them in the area of computer vision. For many of them I create multiple models, try different approaches, use various model architectures. And ...
3
votes
0answers
27 views

How to train a model to extract custom and unknown entities

I'm trying to figure out how to extract specific text from an utterance by a user. I need to extract "unknown" text from a short and simple text. In this case, the user wants to create a list. ...
3
votes
0answers
43 views

When to use RMSE as opposed to MSE and vice versa?

I understand that RMSE is just the square root of MSE. Generally, as far as I have seen, people seem to use MSE as a loss function and RMSE for evaluation purposes, since it exactly gives you the ...
3
votes
0answers
114 views

How can I incrementally train a Yolo model without catastrophic forgetting?

I have successfully trained a Yolo model to recognize k classes. Now I want to train by adding k+1 class to the pre-trained weights (k classes) without forgetting previous k classes. Ideally, I want ...
3
votes
0answers
50 views

How to train CNN such it eliminate dependent features and focuses on independent ones?

How we should train a CNN model when training dataset contains only limited number of cases, and the trained model is supposed to predict class (label) for several other cases, which has not seen ...
3
votes
1answer
416 views

Periodic Pattern in Validation Loss Curve

I am currently trying to solve a regression problem using neural networks. I want to detect movement patterns in images over time (video) and output a continuous value. During the training process I ...
3
votes
1answer
50 views

GPU/TPU acceleration for neural networks with various network topologies

I was thinking about different neural network topologies for some applications. However, I am not sure how this would affect the efficiency of hardware acceleration using GPU/TPU/some other chip. If, ...
2
votes
1answer
16 views

deep learning with kfold cross validation with epochs

I am new into neural networks, I want to use K-fold cross-validation to train my neural network. I want to use 5 folds 50 epochs and a batch size of 64 I found a function in scikit for k-fold cross ...
2
votes
1answer
37 views

How can I train a RL agent to play board games successfully without human play?

How would you go about training an RL Tic Tac Toe (well, any board game, really) application to learn how to play successfully (win the game), without a human having to play against the RL? ...
2
votes
0answers
16 views

What effect does increasing the actions in RL have?

Consider a 2D snake game, where the snake has to eat food to become longer. It must avoid hitting walls and biting into her tail. Such a game could have a different amount of actions: 3 actions: go ...
2
votes
1answer
31 views

When training a CNN, what are the hyperparameters to tune first?

I am training a convolutional neural network for object detection. Apart from the learning rate, what are the other hyperparameters that I should tune? And in what order of importance? Besides, I read ...
2
votes
0answers
14 views

Which CNN hyper-parameters are most sensitive to centered versus off centered data?

Which hyper-parameters of a convolutional neural network are likely to be the most sensitive to depending on whether the training (and test and inference) data involves only accurately centered images ...
2
votes
1answer
49 views

How difficult is this sound classification?

I want a microphone to pick up sounds around me (let's say beyond a 3 foot radius), but ignore sounds made at my desk, such as the rustling of paper, clicking a mouse and typing, my hands brushing up ...
2
votes
0answers
44 views

What form of output would be needed to train a model on a connect 4 AI?

I've had a big interest in machine learning for a while, and I've followed along a few tutorials, but have never made my own project. After losing many games of connect 4 with my friends, I decided to ...
2
votes
1answer
42 views

REINFORCE algorithm for portfolio optimization - problem while training

I'm trying to implement the Reinforce algorithm (Monte Carlo policy gradient) in order to optimize a portfolio of 94 stocks on a daily basis (I have suitable historical data to achieve this). The idea ...
2
votes
0answers
491 views

How to transfer learn Darknet YOLOv3

I've started getting into object detection in image. I have YOLOv3 neural network with Darknet framework. The network is pre-trained from COCO data set. Now I need to do some transfer learning in ...
2
votes
0answers
38 views

Difference between retraining on different portions of data and training initially on larger data set

I have a large data set that doesn't fit in memory and would have to use something like Keras's model.fit_generator if I would like to train the model on all of the ...
2
votes
0answers
28 views

What methods are there to generate artificial training examples based on existing training examples?

I have a small dataset (117 training examples) and many features (4005). Each of the training examples is binary labeled (healthy / diseased). Each feature represents the connectivity between two ...
2
votes
3answers
117 views

Extracting algebraic constraints from the input data

I would appreciate your help with this (naive) question of mine. Given the set of points located on a circle, $x_{i}, y_{i}$ as the input data, Can a deep/machine learning algorithm infer that radius ...
2
votes
0answers
65 views

Regarding L0 sparsification of DNNs proposed by Louizos, Kingma and Welling

I am reading the paper on $\ell_0$ regularization of DNNs by Louizos, Welling and Kingma (2017) (Link to arxiv). In Section 2.1 the authors define the cost function as follows: $$ \mathcal{R}\left( \...
2
votes
0answers
102 views

Performance Evaluation Metrics used in Training, Validation and Testing

Which specific performance evaluation metrics are used in training, validation and testing and why? I am thinking error metrics (RMSE, MAE, MSE) are used in validation, and testing should use a wide ...
2
votes
0answers
41 views

Shifting training data

I want to create a neural network and train it on some data, however I want to be able to create a new model without retraining it from the start. An example, I have 1000 data points in my training ...
2
votes
0answers
91 views

Classification Learning - Normalization of time series and live usage

UPDATE: The tables look messed up so i put them on pastebin for better visibility. https://pastebin.com/gDX28uVF I am using Neural Network with different learning types (for example Standard ...
2
votes
0answers
74 views

How would I implement this New Type of NN

CIO NN CIO NN stands for Controller Input Output Nerual Network note due to a typo the "nearon" means "neron" For this we have to redefine the Nearon 2 Inputs 2 Outputs 4 Weights (each input and ...
2
votes
0answers
46 views

Recommendations on which architecture to use to guess appointment

I'm currently developping an application which allows psychologists to manage their schedule and budget. As a proof of concept, I would like to create an intelligent appointment service. There can be ...
2
votes
0answers
107 views

Train, Validation and Test Split for Reporting Accuracy of Neural Model and BOW

I need to report accuracies of my neural model in a conference paper as compared to various baselines. What are the accepted standards for reporting accuracies in a fair manner? Neural Model: To be ...
2
votes
0answers
526 views

3D - CNN. Why my cost function decreases, but the accuracy does not increase?

I'm implementing a C3D-inspired neural network for human emotion recognition, the problem I'm facing is that altough the cost function is decreasing, for both training and validation sets, I do not ...
1
vote
0answers
11 views

Why is the loss of one of the outputs of a model with multiple outputs increasing while the others are decreasing?

I'm a newbie in neural networks. I'm trying to fit my neural network that has 3 different outputs: semantic segmentation, box mask and box coordinates. When my model is training, the loss of ...
1
vote
0answers
33 views

Can AI be trained to create social media post?

I am trying to conduct an experiment for fun to see if AI could be trained to create "good" social media post. I pulled examples of 1,000s "good" social media post from Facebook. Can someone point ...
1
vote
0answers
24 views

How to reduce fluctuation of a neural network?

I've modeled an AlexNet neural network, with 50 epochs and a batch size of 64. I used a stochastic gradient descent optimizer with a learning rate of 0.01. I attached the train and validation loss and ...
1
vote
0answers
8 views

Multi user DL trainings: VMs VS Multi-seat configuration

For a project of Deep Learning for Detection algorithm (for e.g., improving YOLO) implying 4 users using the same hardware, is it more efficient to set the environment as each user has his own session ...
1
vote
0answers
13 views

Feeding a neural network with single slices of a 3D matrix

I'm working on a neural network wich "slices" a 1080p image in many layers. It takes a 1080p image as an input and produces a 1080*1920*n matrix: basically I add a z value to each pixel rapresenting ...
1
vote
0answers
18 views

Training dataset for convolutional neural network classification - will images captured on the ground be useful for training aerial imagery?

I am an agronomy graduate student looking to classify crops from weeds using convolutional neural networks (CNNs). The basic idea that I am wanting to get into involves separating crops from weeds ...
1
vote
0answers
20 views

Is there any app / API which generates meaningful information?

I was wondering if there is any application / API which given a word comes up with legible and meaningful information related to it, and if possible relates it to any recent happenings or development ...
1
vote
0answers
34 views

How can I build a model to approximate the function $f(n) = 2n$?

I made the following HTML nd javascript to predict $f(n) = 2n$. Basically, I am trying to design my first neural network which predicts 2 multiplied by a number. I know we don't need a neural network ...
1
vote
0answers
28 views

Relationship between model complexity (depth) and dataset size

I'm new to deep learning. I was wondering what's the relationship between a deep model complexity (e.g. total number of parameters, or depth) and the dataset size? Assuming I want to do a binary ...
1
vote
0answers
45 views

Reinforcement learning for a 2D game involving two players

I'd like to create an AI for a 2D game involving two players fighting against each other. The map look something like this (The map is a NxN array somehow randomly generated): Basically the players ...
1
vote
0answers
24 views

How to change the architecture of my simple sequential model

I'm new to Deep Learning with Keras. With some tutorials online for cat vs non-cat classification, I was able to compile this simple architecture for my own ...
1
vote
0answers
33 views

Finetuning GPT-2 twice for particular style of writing on a particular topic

Sorry if this is a stupid question. I'm just starting out in ML and am working with gpt-2 for text generation. My situation is that I have to generate text in a particular field for eg. family ...
1
vote
0answers
52 views

What is the state of the art AI training technique for imperfect information 2 player turn based games?

As far as I can tell (correct me if I'm wrong), Alphazero (with MCTS and neural network heuristic function RL) is the state of the art training method for turn based, deterministic, perfect ...
1
vote
0answers
16 views

A NN based model of a Cattle for 'Heat Detection'

I am very new to AI/ML but have lot of interest in these. I am trying to understand how this gadget works. So far I have understood that a NN model of the cattle is generated by offline ...
1
vote
0answers
20 views

Train detector : 300 images with 30 objects or 9000 images with one?

so I have this dataset of images of people sitting in a restaurant. I've annotated about 300 images with an average of 30 instances of "person" per image. Now I'm wondering if I should have annotated ...
1
vote
0answers
39 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
23 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" ...
1
vote
0answers
13 views

Binary annotations on large, heterogenous images

I'm working on a deep learning project and have encountered a problem. The images that I'm using are very large and extremely detailed. They also contain a huge amount of necessary visual information, ...
1
vote
2answers
73 views

Divide classes into truncated and non-truncated objects

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). ...
1
vote
0answers
37 views

Why validation performance is unstable for my LSTM based model (labelling problems)?

I have trained a recurrent neural network based on 1 stack of LSTM cells. I use it to solve a classification problem. The RNN cell has 48 hidden states. The output of the last unfolded LSTM cell is ...