Questions tagged [deep-learning]

a new area of Machine Learning research concerned with the technologies used for learning hierarchical representations of data, mainly done with deep neural networks (i.e. networks with two or more hidden layers), but also with some sort of Probabilistic Graphical Models.

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In layperson's terms, how much does deep learning performance scale with training examples?

Baidu has answered this question empirically, but I don't have a good background in math so I don't understand the answer: Many studies theoretically predict that generalization error "learning ...
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What kind of loss function should be used for a problem like this?

My dataset consists of hierarchical timeseries. One could imagine it as "total sales" and segmentation per product. Something like this: ...
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1answer
24 views

Different results every time I train a reinforcement learning agent

I am training an RL agent for a control problem using PPO algorithm. I am using stable-baselines library for it. The objective of an agent is to maintain a temperature of 24 deg in a zone and it ...
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Gym Cartpole not solving with Cross Entropy Method?

Cross Entropy Method is considered as one of the simplest optimization algorithm which can be used for training an agent. I tried to train an agent to solve gym's cartpole environment and I have used ...
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NL2SQL task, if we have enough data, what will the model achieve for hard SQL?

We are afraid that the hard SQL like TABLE JOIN is the limit for industrial application. Addition info: https://yale-lily.github.io/spider Thank you very much.
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Why does my Deep Q Model only take a single action?

I don't know if this is the proper place to ask code-based questions on but I've been struggling with this issue for a while. Basically I am training a Deep Q Model using Keras and Google Colab (for ...
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The model only improves Precision/Recall AUC

I have a CNN model for an imbalanced image classification problem. I'm experimenting with a theory that is supposed to improve the accuracy of the model. Since I'm dealing with imbalanced data, I'm ...
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Should I remove the background of my training images?

The images in my dataset look are as below: The images have either a purple background or a white one. But the trained model (cnn) will be tested on images from the field ,that is, they will most ...
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19 views

Convolutional Neural Network for Structured Data

I am having a student dataset which is a record of student academic details I know that that CNN is mostly used in computer vision and image processing for analyzing visual imagery But here it is ...
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What is difference between “cv2.filter2D” vs Keras “Conv2D” function

When I have to sharpen an image using opencv, I use: ...
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How to use deep reinforcement learning to learn how to play Checkers?

I am a student new in reinforcement learning and I'm trying to implement an AI able to play Checkers. I want to implement a deep learning solution. However, I am confused on how to do that. I ...
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What's the input for the cost function?

I'm trying to implement deep Q-learning, but I do not know what to put into the cost function. My net has 8 scalar inputs, 4 scalar outputs (from 0-1) and no hidden layers. To calculate the cost I ...
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Yolo-Algorithm-Training-Data Labels

I was reading many blogs about Yolo Algorithm but I have a bit confused about how we label the training data, I will write my explanation and want to know if it's right or not. In yolo algorithm, if ...
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How do I augment data after spliting traininng datset into train and validation set for CIFAR10 using PyTorch?

When classifying the CIFAR10 in PyTorch, there are normally 50,000 training samples and 10,000 testing samples. However, if I need to create a validation set, I can do it by splitting the training set ...
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How to solve a supervised learning problem with a generative model?

Is there a framework to do supervised task in generative model fashion? i.e. modelling p(x,y) rather than p(y|x) as in discriminative models. When I look at generative models, they all revolve ...
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How to plot the LSTM model

I am using the following simple LSTM model that is implemented using Keras. ...
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How is this function (for updating a Stochastic Gradient Descent model) called without a parameter?

I'm in the middle of a Deep Learning Course offered by DataCamp and the example below was given for optimizing a SGD model: As you can see, the function "get_new_model" requires one parameter: "...
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What's the meaning of precomputed features?

When i learn about deep learning, I found dataset with precomputed features form. Link (http://cs.stanford.edu/people/karpathy/deepimagesent/coco.zip). What's the different with usual dataset?
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Handling a large dataset consisting of npy files

I have a high number of npy files (448 files) each consisting of around 12k frames (150x150 RGB images) which together make the input to my neural network (X). However, since it is impossible to load ...
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Recurrent Python Neural Networks - Reshape () Error [duplicate]

The script below creates the arrays for data prediction using recurring neural networks, If I set the period to 4, the script runs, but I have a 5 value input, how to fix my reshape? DATA SET ...
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How to label time series data correctly for training RNN/CNN models?

My Case I want to tackle a deep learning classification task using various smartphone sensor data. I will use a self-built data acquisition app and basically walk around with the phone, manually ...
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can i get weights per iteration of MLP?

im building an mlp with scikit learn. Is there a way I can access weights and biases of the output layer per iteration? There is an option mlp.coefs_ But it ...
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how to access weights of individual Neurons in the output layers in MLPs?

im working on a neural network using Keras. Its an mlp(multi-layer perceptron). With 8 Neurons in the output layer. Is there a way I can access weights and biases of individual neurons of the output ...
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What will happen if we replace the transformer of BERT to evolved transformer?

If we replace the official BERT's transformer to evolved transformer, do the change accelerate the inference speed without losing accuracy?
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Convolution with different dilation rates for each dimension

How can I get a dilated convolution with different dilation ratio on each axis? Tensorflow/Keras would be best. For example, the filter in the gif below would have the following properties: ...
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6 views

Static and Dynamic neural networks process

Neural networks can be classified into static (convention feedforward networks) and dynamic categories (RNN, LSTMs). ...
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3answers
104 views

How to anonymize (de-identify) data in Python?

I have tried a simple algorithm to anonymize the data using the de-identification technique. But the code doesn't work for me. I want to anonymize the data by slightly changing the values of strings ...
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Is (manual) feature extraction outdated?

I recently attended a PhD thesis defence in which one committee members claimed that "manual feature extraction is outdated. Nowadays, we have [deep] machine learning models doing that job for us ...
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CNN model with transfer learning not performing, training loss is still high, test accuracy is very low

Hi I'm trying to train a cnn model with transfer learning, and I am not able to get a good test accuracy (14%) - I don't know why it doesn't work for me. ...
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Image Quality Assessment Algorithms

I am working on super resolution projects using Generative Adversarial Networks. I need to validate the generated image whether they are close to original one. I already worked with SSIM and PSNR. is ...
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7 views

How to write custom de-identification algorithm in Python?

I have tried a simple algorithm to anonymize my data using the de-identification technique. But the code doesn't work for me. I want to anonymize the data by slightly changing the values. The data ...
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9 views

FastText and CharEmbedding

i have got a question. i don't understand how to develop my DLModel. I'm working on DGA Detection with this type of dataset: ...
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1answer
27 views

What is an expert system

I know that In artificial intelligence, an expert system is a computer system that emulates the decision-making ability of a human expert. Does the architecture of an expert system same as that ...
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1answer
34 views

Deep Learning for non-continuous dataset

I am working with this dataset which is record of student academic details and I want to predict the student's performance. since the dataset is non-continuous I cannot apply CNN on this dataset. ...
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How to build Keras Model for Data set which contains both Time_Series Data and other Feature Data?

I have a data set which contains Time Series Data and other features data. Usually we using RNN or any Variant of RNN like LSTM for time series data and simple Dense Layer for features Data. I need to ...
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How to find which patch in orignal image does an activation correspond to in vgg net after the final pooling layer

So I am working on the NeurIPS 2019 reproducibility challenge, The link to the paper is https://arxiv.org/abs/1806.10574. So basically we have a vgg-16 net with the final fully-connected layers ...
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How to approach mapping families of vectors on a lattice and forecast resulting value

I describe here a model to describe how neighbours influence a node. I wish to implement it to attempt forecasting to values associate nodes; I post here asking for suggestions on mathematical model ...
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7 views

Can I download the Multi-Dimensional Voice Program online?

I'm trying to extract acoustic features from WAV files to create a neural network. The dataset (https://archive.ics.uci.edu/ml/datasets/parkinsons) I got these files from used the MDVP to extract ...
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2answers
50 views

How to Extract Information from the Image(PNG)

I'm trying to extract some particular information from the image(png). I tried to extract the text using the below code ...
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14 views

What is the difference between these 2 training scenarios?

I have a very large dataset and due to computational constraints, I have to divide the data into 20 parts (each part is around 1.5GB). I constructed a deep CNN model using Keras for this dataset. The ...
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18 views

Is it possible to create a point clouds from just a 3D image?

I'm working with classification and segmentation of 3D images. The images I have are simple volumetric samples in .tif format of the shape [200, 512, 512]. I am ...
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1answer
31 views

Deep model ensemble giving different results

I am making an ensemble of deep models for solving a classification problem. The initial weights follow the default distribution of keras layers. Each time I run ...
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1answer
61 views

Convolutional neural networks for non image dataset

Can we use Convolutional Neural networks for a non image dataset for prediction? The dataset is a record of student academic details I know that CNN is mostly used in computer vision and image ...
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1answer
56 views

Using LSTM for multi label classification

I am trying to use LSTMs to train and predict authors using reviews data and metadata ...
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16 views

Train deepfake algorithm with multiple cameras/input sources to generate 3D model?

I have seen many algorithms used for advanced video frame generation for face altering, and they all mostly work on the same paradigm: Input videos of person from front-on. These videos are converted ...
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Can BERT embeddings be used to reproduce the original content of the text?

From what I understand, BERT provides contextualized embeddings that are not deterministic the way Word2Vec embeddings (i.e. the word "Queen" doesn't always produce the same vector, it'll be different ...
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19 views

Neural Network for classifying input data to maximize accuracy

Recently I've been working on some deep neural networks for binary classification, and in developing the appropriate features, I found the necessity to classify the input data. For example, if the ...
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How do I extract these vocal features using Python?

I'm creating a model to predict, based on several acoustic features, the probability that a person has a certain disease, using this dataset: https://archive.ics.uci.edu/ml/datasets/parkinsons. These ...
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1answer
23 views

How can I explain the cause of different performances for two different LSTM models and improve the performance?

I've built two different models for Load Forecasting. Dataset has six features. The performance evaluation metric is the Mean Absolute Percentage Error(MAPE). Both models are based on LSTM. Here is ...
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Input format for deep learning configuration

I plan to make a Deep Learning model for discovering and evaluating energies, atom configuration, and distances. My dataset is atoms of Be(beryllium) in 1D,2D and 3D representations. My question is ...