Advantages of ConvLSTM in Analyzing Hockey Fights

The alternative model used for testing on the hockey fights dataset is a comparative model integrating the traditional LSTM with the AlexNet architecture.

The results achieved using the LSTM-based model are contrasted with those from the proposed ConvLSTM model in Table 3.3, showing the superior performance of ConvLSTM over traditional LSTM.

The total number of trainable parameters associated with the LSTM-based model is 77.5 million.

<p>The main advantage of employing ConvLSTM over traditional LSTM is the significant reduction in the number of parameters requiring optimization, totaling 9.6 million.</p> Signup and view all the answers

<p>The reduced complexity of ConvLSTM is beneficial, especially when dealing with limited data, as it aids the network in better generalizing without succumbing to overfitting.</p> Signup and view all the answers