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0 answers
37 views

Calculate AUC-ROC and AUC-PRC for an LSTM Model

I have the following simple Bidirectional LSTM model for a binary classification task: ...
thatsroughbuddy's user avatar
0 votes
1 answer
68 views

Training Loss for Classification Model Isn't Decreasing

I'm currently building a video classification model for engagement detection but I'm having some trouble training it. The model takes in two tensors as inputs: a 10x48x48x1 tensor which holds a stack ...
snowball's user avatar
0 votes
0 answers
19 views

RNN model for predicting sequences based on sequences of different lengths with Keras

I have data that are sequences of repeated values of different lengths. The value is categorical and can take values from 1 to 184. I used padded with 0 and masking: ...
meyer's user avatar
  • 1
1 vote
0 answers
24 views

Validation Accuracy incorrect when multiple outputs are in the dense layer!

I have a set-up a parallel LSTM architecture with two LSTM layers and one Dense layer producing several outputs which are converted into a probability with a sigmoid function on the dense layer. For ...
Abdi's user avatar
  • 11
0 votes
2 answers
73 views

Classification task on boolean only features: what model/layers/activators are better?

I'm trying to build a classification model. Features are purely boolean (not binary) and are in a csv file like 1,0,1,.. The result is an ...
Putnik's user avatar
  • 105
1 vote
2 answers
53 views

Classification on sound data

My goal is to detect a problem in a windturbine. I have a dataset of 2h (1 hour for each class). To keep in mind, it will be embedded on an MCU target, so the neural network have to be less than 10M ...
Nept0's user avatar
  • 11
0 votes
0 answers
21 views

Input shape CNN speech

The shapes of x_train=(514, 256), y_train=(514,) x_test=(254, 256), y_test=(254,) I have 256 features and 770 samples of which ...
Srikanth's user avatar
0 votes
0 answers
367 views

Binary transformer classification model predicts everything as same value

I'm training a binary classifier using a transformer on structured numerical data (so the order of the columns in my spreadsheet matters). I have adapted the keras text classification model for IMDb ...
mins134's user avatar
3 votes
2 answers
346 views

Measure distance between teeth using Machine Learning

I'm a newbie in ML and I have a problem I am stuck on. I want to train a ML model to recognize dental diagnosis based on photos and x-rays of the patient. Specifically right now, I want to find a way ...
FrenchMajesty's user avatar
0 votes
0 answers
313 views

Custom loss function for binary classificatio in Keras gets error: No gradients provided for any variable

I have a binary classification problem. However, I don't really care about fp and fn values. What I want to achieve is that the <...
Farzad's user avatar
  • 43
0 votes
1 answer
53 views

Strange results from CNN in Keras

I have a binary classification problem. I designed a model with convolution kernels in first layers and then dense layers. As the output layer, however, I used a softmax layer with size 2, and then ...
Farzad's user avatar
  • 43
1 vote
1 answer
39 views

How to stop my CNN getting confused between 3s and 8s, and 1s and 7s?

I am trying to train a CNN, using the MNIST dataset (which I perform data augmentation on), to classify numbers on a sudoku grid from 0-9. While mostly successful, my network seems to get confused ...
VJ123's user avatar
  • 147
0 votes
1 answer
49 views

How to further improve on overfitting?

Update: Please see below for my own answer I'm training from scratch a simple CNN multi-class classification (images taken from a small camera are black and white). I tried it with 2x conv layers and ...
h21's user avatar
  • 111
1 vote
1 answer
205 views

Having weird accuracy graph on deep learning binary classification model

I am doing deep learning binary classification on some data and got very weird results with the accuracy metric. In the first few epochs, it doesn't change at all but then it goes on this weird linear ...
Dani's user avatar
  • 125
0 votes
1 answer
462 views

Keras Binary Classification - Maximizing Recall

Let me start by saying my machine learning experience is... dangerous at this stage. I'm still a beginner. I have a binary classification data set of about 100 000 records. 10% of the records are ...
ceds's user avatar
  • 119

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