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

上釉彩

小卷发

consolidate

甜食

丰满有漂亮

上涨

,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

装勇敢地做

过分

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.