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harvitronix / five-video-classification-methods

Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow
https://medium.com/@harvitronix/five-video-classification-methods-implemented-in-keras-and-tensorflow-99cad29cc0b5
MIT License
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Low accuracy of LRCN model #144

Open shashi438 opened 4 years ago

shashi438 commented 4 years ago

Hello,

I'm trying to recreate the results you've mentioned in your medium blog post. I've split the dataset using your scripts, used the default hyper parameters- 1000 epochs lr = 1e-5, decay - 1e-6 Adam optimizer

But after 60 epochs or so, the results are as follows - (very low accuracy) 131/131 [==============================] - 1315s 10s/step - loss: 3.8444 - acc: 0.1359 - top_k_categorical_accuracy: 0.3930 - val_loss: 4.3090 - val_acc: 0.0922 - val_top_k_categorical_accuracy: 0.2879

Can you please clarify if I'm missing something, or I'm supposed to run for 500+ epochs? thanks

self-ms commented 7 months ago

If your data is embedded and labels are available, you can use the following repository: https://github.com/ms-unlimit/Transformer-Based-Machine-Learning-Framework