I have some video files (in .mat format). these files are time series 3D reconstructions (from digital holograms) of blood cells (two classes: healthy and diseased cells). each frame contains spatiotemporal membrane fluctuations (of the order of tens of nanometers). Is it possible to train the CNNs on these .mat files? I know that training CNNs requires a ton of data (which I don't have), but I can generate some synthetic data, is this the norm? I am thinking of using the same CNN model as used in digit classification: https://www.mathworks.com/help/nnet/ref/trainnetwork.html
MATLAB: Training CNNs on video data
classificationdeep learningmachine learning
Related Question
- Which is the best way to classify videos in MATLAB
- There is the need to train CNN and LSTM separately before combining them
- Video classification using svm
- Implementing A Siamese Architecture With Matlab
- How to video classification using feature extraction
- Deep learning Neural Network
- Error during Classify Videos Using Deep Learning
Best Answer