All Questions
50 questions
0votes
0answers
16views
Find all face-recognition matches in JPEG files, which are similar to a corpus of n example photos
This code works, with keras_facenet, to find all files in photos/*.jpg matching the face present in ...
- 151
0votes
2answers
120views
How do I improve my model accuracy and val_accuracy for my cnn model?
I'm using 3000+ retinopathy images in my CNN model. The accuracy remains around 77 to 80, how do i improve the accuracy value and reduce loss value? I've tried dropout and Adam optimizer to increase ...
0votes
0answers
20views
Training Image Classifier with 7 classes but my model is overfitting resulting the accuracy of the model to behave weirdly during training
I am training an image classifier for 7 different model types of a specific car engine parts. Each class has exactly 308 grayscale images with the same resolution of 1014x760. Those images consists ...
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
0votes
1answer
47views
Keras accuracy does not change for multi-output module
I want to predict the penalty/punishment given for fraud cases, with inputs in the form of (damage amount(\$), if recidivism), and targets in the format of (fine(\$), jail(months), community service(...
1vote
1answer
205views
Why does my neural network perform different on the same images during training and testing?
I use tensorflow keras to build a neural network that classifies images of covid-19 rapid tests into three classes (Negative, Positive, Empty). During training the ...
1vote
1answer
338views
Where can I find authentic references on "categorical cross entropy" and "categorical accuracy metric"?
My Python source code uses TensorFlow and Keras to implement a neural network. The Keras source code uses something called "categorical cross-entropy" and "categorical accuracy metric&...
- 341
0votes
1answer
117views
Why does validation accuracy stop rising so soon?
I have implemented a GRU to deal with youtube comment data. I am a bit confused about why the validation score seems to even out around 70% and then keeps rising, this doesn't look like overfitting ...
- 1
1vote
2answers
315views
Are these book example CNN results realistic?
I've been following a deep learning book and the current section I'm on is about convolutional neural networks. The author presents some code to create a basic CNN with about 1 million parameters, ...
- 21
0votes
1answer
262views
Confusion about faster RCNN neither object nor background label
I am trying to construct a faster RCNN from scratch using KERAS. I am generating the tensor which contains whether anchor at each location corresponds to object or background or neither for training ...
1vote
0answers
148views
Is a true RNN auto encoder possible with Keras/TF
I want to get some encodings for temporal data (with a highly varying number of timesteps). The dataset is of the format: ...
0votes
1answer
552views
"Porpoising" in latter stages of validation loss and MSE charts in Keras
Performing a prediction of a continuous y target using Keras, the simple structure of the code revolves around; ...
- 13
0votes
0answers
464views
Is it possible to transform audio with neural networks to make it sound like 3d sound
so the idea is to feed neural network data like input: mono audio(extracted from existing 3d audio) output: 3d audio after training it should convert mono audio to 3d sound do you think it is possible?...
0votes
0answers
640views
How to make an ensemble model of two LSTM models with different window sizes i.e. different data shapes
Below is the Python code for making an ensemble model. All the inputs are the same for all three models. But what if the models have different input shapes due to different window size, such as LSTM ...
2votes
0answers
53views
Single-value loss/training in a CNN with a tensor output
I am playing around with an idea of using using Q-learning with a DQN (Deep Q-Network), to determine the optimal position of a number of 'units' on a grid of allowed locations, according to some ...
- 121
