All Questions
Tagged with deep-learningtensorflow
88 questions
0votes
0answers
25views
Kaggle notebook from keras 2 to keras 3 problems
as the title suggests, I'm trying to convert a notebook in keras 3, but idk why it's not working properly. This is the original notebook (tell me if it's better to put here the code), I'm trying to do ...
0votes
0answers
14views
ANN poor NMSE issue: complex valued input and output discrete-time voltage data from third order static non-linear system
I'm currently working on training a neural network in Python to model a nonlinear system using complex-valued voltage data. My dataset comprises 3400 training samples, each consisting of 128 discrete ...
0votes
0answers
41views
Why am I getting the same accuracy on validation data? - Python - Computer Vision - Deep Learning
I'm getting the same accuracy on validation data, and the accuracy on the training data varies little in every epoch. The training data consists of 19670 images (14445: class 0, 5225: class 1). The ...
0votes
0answers
30views
My CNN validation Accuracy increases super slow?
im doing a retinopathy detection project with over 3500 images, 700 in each class. I've filtered the image like It seems that my model isn't learning from the data, or is having trouble because the ...
2votes
0answers
139views
How to Create a Neural Network Model to Generate Dance Movements Based on Music in MMD Format
I am working on a project where I need to create a neural network model to generate dance movements based on music. My goal is to achieve results similar to this video: https://youtu.be/FrA7f5F9TsI ...
0votes
0answers
140views
No matter how I change a loss function I get it equal to infinity
I am a bioinformatician, and at the moment I am working with a dataset containing ~12.3 million mutations for ~5500 individuals. The goal is to perform binary classification. I use this framework to ...
- 101
1vote
1answer
198views
How do I input multi-channel Numpy array to U-net for semantic segmentation
I had lidar 3D point cloud data from semantckitti. I want to perform Semantic Segmentation on the data using U-Net. I converted the 3d point cloud data into 2D using spherical conversion and saved the ...
0votes
1answer
40views
How to convert my test data in the same dimensionality as my train data
I have trained a VAE with jpg images. My latent space dimension has 768 features and when plotting the latent space it looks like this: However, when I use the scikit learn tool LDA (Linear ...
0votes
1answer
107views
L2 regularization in BN layers, how to set gamma?
I have read tensorflow's documents about batch normzalization , but still don't get what is the gamma regulizer? the link to document: https://www.tensorflow.org/api_docs/python/tf/keras/layers/...
2votes
1answer
242views
How does the memory augmented neural network work, and how to make a simple implementation?
How does the memory augmented neural network (MANN) work? How can I make a simple MANN with a vanilla neural network especially without a recurrent network?
- 1,106
0votes
3answers
799views
What is loss function in Neural Networks?
I've been studying NNs with tensorflow and decided to code a simple NN from scratch to get a better idea on hwo they work. It my understanding that the cost is used in backpropagation, so basically ...
1vote
1answer
656views
How exactly does Keras calculate the validation accuracy?
After each epoch, Keras provides the following evaluations (depending on how the model is compiled): train_accuracy train_loss validation_loss validation_accuracy Keras evaluates the performance of ...
- 111
1vote
0answers
32views
Bayesian optimization with confidence bound not working
I have a simple MLP for which I want to optimize some hyperparameters. I have fixed the number of hidden layers (for unrelated reasons) to be 3. So the hyperparameters being optimized through Bayesian ...
- 121
1vote
0answers
295views
Why can't I reproduce my results in keras using random seed? [closed]
I was doing a task using RNN to predict a time series movement. I want to make my results reproducible. So I strictly followed this post: https://stackoverflow.com/questions/32419510/how-to-get-...
- 121
2votes
2answers
302views
How to instruct Mask RCNN to identify objects too close to each other?
I have been trying to train a Mask RCNN model to identify individual poker chips in a stack. No matter what property I change, the end results look like the following image. I was guessing the issue ...
- 29
