CODEWITHSUNDEEP
tensorflowneural-networkclassificationconv-neural-networkrecurrent-neural-network
NickF_93
NickF_93

Reputation: 509

Classification of a sequence of images (fixed number)

I successfully trained a CNN for a single image classification, using pre-trained resnet50 from tensorflow_hub.

Now my goal is to give as input to my network a chronological sequence of images (not a video), to classify the behavior of the subject. Each sequence consists of 20 images taken every 100ms.

What is the best kind of NN? Where can I find documentation/examples for problems similar to mine?

Upvotes: 4

Views: 785

Answers (1)

raceee
raceee

Reputation: 517

Any time there is sequential data some type of Recurrent Neural Network is a great candidate (usually in the form of an LSTM).

Your model may look like a combination of an CNN-LSTM because your pictures have some sort of sequential relationship.

Here is a link to some examples and tutorials. He will set up a CNN in his example but you could probably rig your architecture to use the resNet you have already made. Though your are not dealing with a video your problem shares the same domain.

Here is a paper than uses a NN architecture like the one described above you might find useful.

Upvotes: 2

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