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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19 views

Different predictions across DL Frameworks [closed]

Can anyone give me a reason as to why I can train a neural network in say Tensorflow Flow, build equivalent models in pytorch and keras and any other DL framework, load the weights from the tensorflow ...
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2answers
216 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 ...
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1answer
32 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 ...
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2answers
122 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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23 views

Keras autoencoder is not reconstructing 1D signals

I would like to train an autoencoder neural network. Assume I have a 1D signal: Then in order to create a dataset, I split this signal into several thousands of (overlapping) segments (each with 1024 ...
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23 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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25 views

How to make a CNN/RNN on a non-binary dataset?

I am using TensorFlow + Keras to make a CNN/RNN. I'm quite new to AI, I've only made a few relatively basic networks for image regression/classification. The end goal of my project is to determine the ...
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1answer
23 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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21 views

How do I split test and train data in gait recognition(or Face recognition)?

I am trying to implement gait recognition with Keras, I have a Gait-dataset and I was wondering how I would be able to handling and split the data frame into two samples (80%-20%) for training and ...
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19 views

Duplicating calculations in CNN-LSTM architecture

I want to use frames from video game and analyze them using CNN and LSTM. But when I have the model defined like that ...
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1answer
28 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: ...
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9 views

What is the difference between TimeDistributed CNN+RNN and passing sequence of features to RNN

I found Keras API that allows to add additional time dimension. ...
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1answer
25 views

Generation of 'new log probabilities' in continuous action space PPO

I have a conceptual question for you all that hopefully I can convey clearly. I am building an RL agent in Keras using continuous PPO to control a laser attached to a pan/tilt turret for target ...
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1answer
40 views

Why does the output shape of a Dense layer contain a batch size?

I understand that the batch size is the number of examples you pass into the neural network (NN). If the batch size is 10, it means you feed the NN 10 examples at once. Assuming I have an NN with a ...
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13 views

Why is the variance of my model predictions much smaller than the training data?

I trained a GRU model on some data and then created a bunch of predictions on a test set. The predictions are really bad, as indicated by a near zero R2 score. I notice that the variance of the model ...
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1answer
30 views

Why is the convolution layer called Conv2D?

When I build a convolution layer for image processing, the filter parameters should have 3 dimensions, (filter_length, filter_width, color_depth) is that correct? ...
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28 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 ...
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2answers
47 views

Is there a neural network that accepts both the current input and previous output?

I am quite new to neural networks. I am trying to implement in Python a neural network having only one hidden layer with $N$ neurons and $1$ output layer. The point is that I am analyzing time series ...
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19 views

Keras model accuracy not improving beyond threshold

I am currently working on a public project for the National Weather Model. We are experimenting with using a recurrent neural network to replace the output of a quadratic formula that is in use. The ...
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55 views

What is the best way to make a deep reinforcement learning environment with a continuous 2D action space?

I understand that the actor-critic method is probably where I want to start because of how it works with continuous action spaces. However, the problem I am trying to solve would require the action be ...
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47 views

ConvNet - What to improve regarding architecture, procedure and technique?

I have a dataset of 180k images of license plates (so, not necessary to localize the license plate at first) for which I try to recognize the characters on the images (License plate recognition). All ...
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50 views

Embedding Layer into Convolution Layer

I'm looking to encode PDF documents for deep learning such that an image representation of the PDF refers to word embeddings instead of graphic data So I've indexed a relatively small vocabulary (88 ...
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1answer
46 views

When would bias regularisation and activation regularisation be necessary?

For Keras on TensorFlow, a layer class constructor comes with these: kernel_regularizer=... bias_regularizer=... ...
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37 views

Micro average f1_score, None average f1_score cannot increase more than 0.71, 0.50 respectively for the best model estimator

I am training a multilabel text neural network and the model metric I chose, to measure the performance of the training and the validation sets, is the f1 score (Micro average, None average). However, ...
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38 views

CIFAR-10 can't get above 10% Accuracy with MobileNet, VGG16 and ResNet on Keras

I'm trying to train the most popular Models (mobileNet, VGG16, ResNet...) with the CIFAR10-dataset but the accuracy can't get above 9,9%. I want to do that with the completely model (include_top=True) ...
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1answer
42 views

Do correlations matter when building neural networks?

I am new to working with neural networks. However, I have built some linear regression models in the past. My question is, is it worth looking for features with a correlation to my target variable as ...
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1answer
73 views

Understand the DDPG algorithm in Keras

I'm trying to understand the DDPG algorithm using Keras I found the site and started analyzing the code, I can't understand 2 things. The algorithm used to write the code presented on the page In the ...
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1answer
67 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 ...
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38 views

Inaccurate masks with Mask-RCNN: Stairs effect and sudden stops

I've been using matterport's Mask R-CNN to train on a custom dataset. However, there seem to be some parameters that i failed to correctly define because on practically all of the images, the bottom ...
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22 views

Time distributed word position prediction

I am facing the following problem. I need to create a model to predict the product groups from product title. For each word in sentence I need to predict position of a word marked as product. My ...
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22 views

Different result from k-cross validation model and Train-Validation-Test split model ? (AI fresher question)

I am starting to learn about Neural Network and I have come into one problem that I am still learning how to figure it out. I have a dataset with shape (105,96) (105 samples and 95 first column as ...
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1answer
39 views

Number of LSTM layers needed to learn a certain number of sequences

Theoretically, number of units for a LSTM layer is the number of hidden states or the max length of sequences as per my practice. For example, in Keras: ...
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46 views

Why is my DDPG agent (implemented in TensorFlow) not learning?

I am trying to implement a Reinforcement Learning algorithm called DDPG in TensorFlow 2.x on a custom gym environment. I am new to TF. So, I started with the DDPG TF 1.x implementation from pemami4911....
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24 views

CNN keras accuracy not improving

I am trying to duplicate and learn from example given on this website . With my little modification, I am trying to simple exchange color for example like red to orange in an image. The original ...
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25 views

Binary classification to recognize blobs on pictures generates many false-positive results

I am training a NN for blobs vs non-blobs recognition. Blobs example: Non-blobs: Keras architecture is: ...
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34 views

Which loss function and evaluation metric should I use for a multiple output prediction problem?

I was running into a situation with a data set like this I have 4 events and and they might happen together in pairs. I want to use 3 features to predict the coupling between event. I am building a ...
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27 views

How much data do we need for making a successful de-noising auto-encoder?

Is there a guide how much data do you need for making successful denoising model using autoencoders? Or the rule is, the more data, the better it is? I tried with small dataset 350 samples, to see ...
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2answers
69 views

How can I have the same input and output shape in an auto-encoder?

I'm building a denoising autoencoder. I want to have the same input and output shape image. This is my architecture: ...
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1answer
113 views

How do you manage negative rewards in policy gradient reinforcement learning?

The same basic question here, but 3 years old and no definitive answer: Negative reward (penalty) in policy gradient reinforcement learning The question is, if I'm doing policy gradient in keras, ...
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32 views

How does multiple outputs added from intermediate layers of a keras functional model influence its learning behaviour / gradients?

let us assume I have a keras functional model with 2 inputs. My model has two branchs, each branch for each input. The model only uses dense layers. The first input is the data itself (feature vector ...
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1answer
32 views

How to use 'Canny/Watershed' algorithm's output as an input for Image Classification Model

I have a very silly problem in hand. I have implemented 2 methods which give me the mask to separate the objects from the background. What I get from one method is the object encapsulated in the red ...
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33 views

How to convert something to vectors

I wanted to create an encoder, which is the first part of an autoencoder. I do not want to build the whole autoencoder but rather wanted to test whether my mobile device can support running an encoder ...
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20 views

Keras word ordering task

I'm trying to solve the word ordering task: given a syntactically unordered sentence, recover the right order of the words. The adopted approach is to transform each sentence in a dependency tree and ...
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1answer
61 views

Why does this model have 12 parameters?

I guess the model shown in this image (img_1) is the same as the one in this image (img_2) I was trying to build a neural net like that. This keras code is to do the job. ...
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2answers
35 views

Heavily mixing signal differentiation from Open Set of backgrounds via CNN

To whomever can help out, I appreciate it. I am currently attempting to detect a signal from background noise. The signal is pretty well known but the background has a lotttt of variability. I've ...
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21 views

Is using a filter of size (1, x, y) on a 3D convolutional layer the same as using a filter of size (x,y) on a 2D convolutional layer?

I'm trying to predict some properties of videos with Keras using the following rough architecture: Feed each frame through the same 2-D convolutional layer. Take the outputs of this 2-D ...
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136 views

What are the actual math or computer science concepts behind these unfamiliar hyperparameters in the Deep Dream Generator's Deep Style?

I've been playing around with neural style transfer for a about a year now, and I've been doing it with two general approaches. The first has been using a script that is available on the Keras GitHub, ...
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33 views

Could zero-padding affect learning in a negative way?

I implemented an LSTM with Keras to perform word ordering task (given a syntactically unordered sentence, the goal is to label ...
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1answer
73 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 ...
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29 views

NN for card game evaluation function

I've written an Monte Carlo Tree Search player for the game of Castle (AKA Shithead, Shed, Palace...). I have set this MCTS player to play against a basic rule based AI for ~30000 games and collected ~...

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