All Questions
11 questions
0
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2
answers
3k
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0
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1
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38
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Creating a image classification model [closed]
I am working on a dataset to classify facial expressions.
Dataset has 7 classes, training images 28000 and test images 7000. I created 2 models
Model1:
this model has 11 layers. Initially model was ...
- 13
1
vote
1
answer
89
views
Retraining of object detection models
I came across the concept of retraining of models a few days back.
So tensorflow recommends to retrain an already trained model instead of making a new one from scratch so that the whole process takes ...
- 13
4
votes
2
answers
9k
views
Training accuracy is ~97% but validation accuracy is stuck at ~40%
I am trying to classify images into 27 classes using a Conv2D network. The training accuracy rises through epochs as expected but the val_accuracy and val_loss values fluctuate severely and are not ...
- 41
0
votes
1
answer
36
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Predictions of a Deep Learning Model
I’ve built a model that classifies digits from 0-9. My dataset is tf.keras.datasets.mnist. I use softmax as the activation function for the output layer.
Q1:
The output layer should consist of 10 ...
2
votes
2
answers
685
views
What is the ideal size to a binary CNN? Is my dataset long enough?
I would like to know what is the ideal size to a CNN, or there's a mathematical function to determine it, or it change through the differents scopes?
And also, I'm doing a binary classification CNN ...
- 241
1
vote
1
answer
583
views
Maximize Precision Deep Learning
For some binary image classification problems having close to 100% precision is super important and recall is much less important.
What are best practices for maximizing precision? Setting the ...
- 73
1
vote
1
answer
461
views
Neural Net Accuracy: Test Set vs Real World Data
Neural Net accuracy is high on test set but low on new real world image examples.
Looking for advice regarding what generally causes this scenario and how to fix it.
Sampling basis? Training/test ...
- 73
1
vote
1
answer
1k
views
Does image resizing lower the prediction accuracy of MLP?
I am implementing a vanilla neural network (MLP) to do image classification in python using tensorflow on images of honey bees to detect their health status. The images in my dataset are of different ...
- 13
2
votes
2
answers
5k
views
Pre-trained CNN for feature extraction [closed]
I'm trying to classify images. I want to run each image through a pretrained CNN to apply convolution and pooling and end up with a smaller picture/matrix where the value of each pixel is a feature. ...
- 233
0
votes
1
answer
494
views
State of the art for Object detection/image recognition
I was asked to verify the feasibility for solving a particular problem: recognizing for a fashion brand the model of its products.
I have little experience with image recognition in general, I ...
- 123