Titlebook: Doctoral Symposium on Information and Communication Technologies; Second Doctoral Symp Karina Abad,Santiago Berrezueta Conference proceedin

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小卷發(fā)

consolidate

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豐滿有漂亮

上漲

,Implementation of?a?Lightweight CNN for?American Sign Language Classification, learning to reduce the training time by reusing the weights of EfficientNet, pre-trained with the ImageNet dataset. Our results are compared with the benchmark paper, proving that our model generalizes better to unseen instances. In the first section of this study, we introduce American sign langua

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多余

荒唐

Kryokonservierung von Blutzellen016 to 2020. Results indicate that the use of multimodal deep learning models (pre-trained CNN for images and LSTM for time series sensor data) gives better prediction accuracy than monomodal prediction models.