All Questions
Tagged with classification deep-learning
318
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11
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NER with custom tags and no training data, zero shot approach help
I am building a "field tagger" for documents. Basically, a document, in my case something like a proposal or sales quote, would have a bunch of entities scattered throughout it, and we want ...
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32
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How does one handle a dataset with groups of features and groups of labels in classification?
I have a large dataset (1.8mil samples). There are 15 features: x1, y1, z1, e1, d1, x2,..., d3. (x,y,z) are coordinates, e is energy, and d is a derived feature- Euclidean distance between the ...
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24
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Everything is classified as background by segmentation model
I am training a U-NET model for medical image segmentation. Problem is that the binary masks that im using to train the model mostly consist of background pixels and a very small region of the whole ...
- 61
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Should I standardise time series data for deep learning classification?
Say I have time series data for classifying stars using deep learning based on stellar variability, with each time series data measuring the flux of the star overtime. For each star, I have the data ...
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34
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Unordered Set Classification Problem
In my setup I have one feature which is a sparse list representing categories. For example, let's say that we have M categories in the interval ...
- 111
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29
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How to improve Accuracy on dermaMNIST dataset?
Unlike the regular MNIST which gets 97-99% with a fairly basic network, dermaMNIST gets training/validation stuck on 0.69. This tells me the model is underfitting. But, making it bigger seems to have ...
- 131
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7
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Speaker Verification models on
I went through different articles of speaker verifications (ECAPA-TDNN, TITANET).
They trained on ...
- 393
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38
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Can someone interpret my Binary Cross Entropy Loss Curve?
I am trying to understand my loss curve using : tf.keras.losses.BinaryCrossentropy()
Question 1: Based on my loss curve/accuracy, would it be wise to proceed to feed it into a ensemble learning model ...
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41
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How to optimize my CNN classification architecture
I have this CNN based model architecture that takes an RGB image. Now I'm trying to change it for a color classification case on an object (10 color classes: white, black, yellow, etc). This current ...
- 217
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Tile color, shape, and type detection altogether
I'm trying to apply some detections/classification on the set of tiles we have. Specifically, I need to detect color (15 classes), pattern (25 classes- on the surface of tiles, there can be certain ...
- 217
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29
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Where can I get 5000+ classified images of zoo animals? [closed]
please help! We are college students doing this for a project. The project is using neural networks and want to build a model that takes in an input of a colored image of an animal and outputs the ...
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68
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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 ...
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35
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How can I identify coverage types in NFL games using Computer vision
I am currently working on a project that classifies coverage types from sports highlights using advanced computer vision techniques. Next Gen Stats effectively utilizes tracking data to identify ...
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653
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Car Make and Model detection
I am trying to develop a deep learning model that given an image of a car, it detects a car's make and model among 50 different brands, each with say another 50 models. What approach is probably the ...
- 217
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Measuring Product Search effectiveness
I want to measure the effectiveness of my search engine, one of the ways i can do that is by measuring the rate at which a customer reformulates the previous query. Hence, I need to quantify inter-...
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