Questions tagged [keras]

For questions related to Keras, the modular neural networks library written in Python. However, note that programming questions are off-topic here.

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1answer
344 views

How do I get multiple loss per sample in keras evaluate? [closed]

Usually, when I evaluate() a model, I would get a single loss that is already averaged over all samples. How do I get the loss per each sample and return all of them? E.g. if my dataset has 100 ...
4
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1answer
30 views

How to graphically represent a RNN architecture implemented in Keras?

I'm trying to create a simple blogpost on RNNs, that should give a better insight into how they work in Keras. Let's say: ...
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1answer
54 views

Advantage Actor Critic model implementation with Tensorflowjs

I am trying to implement an Actor Critic method that controls an RC car. For this I have implemented a simulated environment and actor critic tensorflowjs models. My intention is to train a model to ...
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0answers
13 views

Jetson Nano low CNN inference performance [migrated]

I'm running what I believe is a pretty small CNN on an nVidia Jetson Nano with Jetpack 4.4. nVidia claims the Nano can run a ResNet-50 at 36fps, so I expected my much smaller network to run at 30+ fps ...
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0answers
95 views

How the parameters of decay_rate & decay_steps are taken into consideration while computing InverseTimeDecay()

During the last couple of days, I am experimenting with the different schedulers of learning rate decay offered by Keras (link here). Specifically, I have been using InverseTimeDecay: A ...
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2answers
60 views

How can I use autoencoders to analyze patterns and classify them?

I generated a bunch of simulation data from a complex physical simulation that spits out patterns. I am trying to apply unsupervised learning to analyze the patterns and ideally classify them into ...
0
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1answer
83 views

How to handle extremely 'long' images?

After transforming timeseries into an image format, I get a width-height ratio of ~135. Typical image CNN applications involve either square or reasonably-rectangular proportions - whereas mine look ...
3
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1answer
688 views

Deep Q-Learning poor convergence on Stochastic Environment

I'm trying to implement a Deep Q-network in Keras/TF that learns to play Minesweeper (our stochastic environment). I have noticed that the agent learns to play the game pretty well with both small and ...
2
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0answers
30 views

Can I constrain my neurons in a neural network in according to the orders of the input?

I'm working with data that is ranked. So the inputs are 1,2,3 etc. This means the smaller numbers (ranks) are preferred to the larger ones. Hence the order is important. I want to estimate a number ...
2
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2answers
1k views

Q Learning Algorithm not converging

I am trying to run Deep Q-learning algorithm on a game which I made in Python using pygame library. The algorithm accepts the game screen (4 frames) as input to neural network which used as the ...
1
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1answer
51 views

Using DDPG for control in multi-dimensional continuous action space?

I am relatively new to reinforcement learning, and I am trying to implement a reinforcement learning algorithm that can do continuous control in a custom environment. The state of the environment is ...
3
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0answers
25 views

Validation accuracy higher than training accurarcy

I implemented the unet in tensorflow for the segmentation of MRI images of the thigh. I noticed I always get a higher validation accuracy by a small gap, independently of the initial split. One ...
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0answers
20 views

Network structure of generative model for classification

I'm trying to model a generative model for classification problem, especially aiming to solve an imbalanced data problem. However, I couldn't get intuitive understanding for generative classifier in ...
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0answers
43 views

How to deal with KerasRL DDPG algorithm getting stuck in a local optima?

I am using KerasRL DDPG to try to learn a policy on my own custom environment, but the agent is stuck in a local optima although I am adding the OrnsteinUhlenbeck randomization process. I used the ...
3
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1answer
523 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 ...
0
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1answer
31 views

Extract Features at Multiple Image-Scales

I try to replicate the results of this paper. They state, that they used VGG16- and VGG19-models pretrained on imagenet and used the output of the last convolutional layer (without relu and max-...
2
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1answer
45 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 ...
1
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1answer
121 views

Binary mode or Multi-label mode is correct when using binary crossentropy and sigmoid output function on multi-label classification

I would like to ask a question about the relationship of accuracy with the loss function. My experiment is a multiclass text classification problem, and I have built a Keras neural network to tackle ...
2
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0answers
21 views

Why does the loss stops reducing after a point in this Transformer Model?

Context I was making a Transformer Model to convert English Sentences to German Sentences. But the loss stops reducing after some time. Code ...
2
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0answers
21 views

CNN for a DQN agent with a 2D matrix state and action as a 2D matrix

I have a custom environment, where the state is a 2D matrix of 11 rows (equals to number of users to satisfy) and 3 columns. Each column can take the value of either 0 or 1, and in each row, there can ...
4
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1answer
343 views

Adding a dense layer after a conv2d layer in a convolutional autoencoder

I am trying to implement a convolutional autoencoder with a dense layer at the bottleneck do to some dimensional reduction. I have seen two approaches for this which arent particularly scalable. The ...
3
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1answer
59 views

How to build a DQN agent with state and action being arrays?

I have a Reinforcement-Learning environment where the state is an array of 0s and 1s with length equals to the number of users the agent must satisfy (11 users). The agent must choose one of 12 ...
3
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0answers
29 views

DQN Agent with a 2D matrix as input in Keras

I have a Reinforcement Learning environment where the state is a 2D matrix with 0s and 1s (only one column with the value of 1 in each row). Example: ...
1
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1answer
132 views

Why is my validation/test accuracy higher than my training accuracy

Is this due to my dropout layers being disabled during evaluation? I'm classifying the CIFAR-10 dataset with a CNN using the Keras library. There are 50000 samples in the training set; I'm using a ...
1
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1answer
68 views

The truth value of an array with more than one element is ambiguous - Loading a model saved in h5 format keras 2.2.4 [closed]

I'm having a problem when loading a model in keras: model = load_model('model.h5', custom_objects={'mean_iou': metrics.mean_iou}) As an error I get: ...
1
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1answer
44 views

Autoencoder: predictions missing for nodes in the bottleneck layer

I'm using tf.Keras to build a deep-fully connected autoencoder. My input dataset is a dataframe with shape (19947,), and the purpose of the autoencoder is to predict normalized gene expression values. ...
2
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1answer
111 views

Why is this ResNet50 misclassifying objects?

I'm new to Deep Learning, and I have some conceptual problems. I followed a simple tutorial here, and trained a model in Keras to do image classification on 10 classes of logos. I prepared 10 classes ...
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2answers
52 views

Why is my Keras prediction always close to 100% for one image class?

I am using Keras (on top of TF 2.3) to train an image classifier. In some cases I have more than two classes, but often there are just two classes (either "good" or "bad"). I am ...
1
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1answer
107 views

Which model can I use for this problem with multiple inputs and outputs?

Which model is the most appropriate for this problem with multiple inputs and outputs? The data set is A1, A2, A3, A4, A5, A6, B1, B2, B3, B4 where ...
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0answers
124 views

How should I build this DQN agent?

I have a set of users that can be one of 3 types. They will randomly request a service from the UAV which is a drone used as a Base Station. The UAV (the agent) is tasked with allocating subchannels (...
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1answer
34 views

Is CNN capable of extracting the descriptive statistics features

I was trying to build a CNN model. I used time series data of daily temperature to predict if there is risk of an event, say bacteria growth. I calculated the descriptive statistics of the time series,...
3
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1answer
45 views

DQN layers when state space and action space are multi dimensional

I have built my own RL environment, where a state is composed of two elements: the agent's position and a matrix of 0s and 1s (1 if a user has requested a service from the agent, 0 otherwise); an ...
2
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0answers
25 views

Loss function decays linearly in segmentation MRI fascia

I am working on a segmentation of MRI images of the thigh. I am trying to segment the fascia, there is a slight imbalance between the background and the mask. I have about 1400 images from 30 patients ...
1
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1answer
27 views

Why do we need to provide false labels to the discriminator on purpose to train GANs?

This is the tutorial that I used to learn about GANs. In this tutorial, it taught us to intentionally provide false labels to "fool" the discriminator, but does it make the discriminator ...
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0answers
14 views

Python Create Keras Neural Network with Bag Of Words Model for News Classification

I want to train a classification neural network then predict some inputs. It's classic classification example as you know. I'm implementing this with python. I searched a lot about it and I always ...
0
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0answers
38 views

Distinguishing between handwritten compound fraction and subtraction

I am working in a project named "Handwritten Math Evaluation". So what basically happens in this is that there are 11 classes of (0 - 9) and (+, -) each containing 50 clean handwritten ...
1
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1answer
46 views

Hand-Signs Recognition using Deep Learning Convolutional Neural Networks

I am developing a CNN model to recognize 24 hand-signs of American Sign Language. I have 2500 Images/hand-sign. The data split is: Training = 1250 Images/hand-sign Validation = 625 Images/hand-sign ...
3
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1answer
368 views

How does backpropagation work on a custom loss function whose components have magnitudes of different orders?

I want to use a custom loss function which is a weighted combination of l1 and DSSIM losses. The DSSIM loss is limited between 0 and 0.5 where as the l1 loss can be orders of magnitude greater and is ...
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0answers
50 views

How to design my Neural Network for Game AI

For my school project, I have to develop an agent to play my game. The base I have is a 'GameManager' which call 2 AIs, each taking a random move to do. To make my AI perform, I decided to make a ...
0
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0answers
19 views

Relative Weighting of Loss Weights for Self-Play Reinforcement Learning

I am training some self play reinforcement learning agents to play 2 player board games like Connect 4, Othello, and The Game of the Amazons. For each game, there is a single neural network with 2 ...
1
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1answer
195 views

How do you manage negative rewards in policy gradients?

This old question has no definitive answer yet, that's why I am asking it here again. I also asked this same question here. If I'm doing policy gradient in Keras, using a loss of the form: ...
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0answers
15 views

How would named recognition and entity linking interface with subsequent machine learning model?

I have a database containing summary of the movie, the price of the movie, location, language. I would like to make a prediction on 'like' based on previous like of a user. I am wonder how the output ...
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0answers
18 views

How to afine the extremity values in regression prediction with Keras?

I made a stack of bidirectional LSTM layers following by Dense layers (with swish activation functions) in order to predict a continuous value between 0 and 2. I compiled the model with ...
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0answers
37 views

Unable to meet desired mean squared error

I wish to get MSE < 0.5 on test data (https://easyupload.io/zr7xf3) which is 20% of given data chosen randomly. But I am reaching 0.73 using both plain Ridge Regression as well as a neural network ...
2
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2answers
232 views

How to tell a neural network that: “your i-th input is special”

Assume that I have a fully connected network that takes in a vector containing 1025 elements. First 1024 elements are related to ...
2
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2answers
182 views

What is the need for so many filters in a CNN?

Consider the following coding line related to CNNS Conv2D(64, (3,3), strides=(2, 2), padding='same') It is a convolution layer with filter size $3 \times 3$ and ...
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1answer
37 views

How to construct input dependent convolutional filter?

I am constructing a convolutional variational autoencoder for images, starting out with mnist digits. Typically I would specify convolutional layers in the following way: ...
2
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1answer
41 views

Evaluate model multiple times in loss function? Is this reinforcement learning?

I am interested in models that exhibit behavior. My goal is a model that survives indefinitely on a two dimensional resource landscape. One dimension represents the location (0 to 1) and the second ...
0
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1answer
26 views

Image Classification for watermarks with poor results

Just starting learning things about tensorflow and NN. As an exercise I decided to create a dataset of images, watermarked and not, in order to binary classify these. First of all, the dataset ( you ...
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0answers
27 views

Pytorch and keras ddqn seem identical, only keras learns

I followed a tutorial for ddqn to beat pong, it beats it with a perfect score in keras, but trying to translate it to pytorch it doesn't learn at all. What am I missing? I pasted all the code for each ...

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