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IEEE7y
Vietnamese food recognition using convolutional neural networks
In this paper, we investigate Vietnamese food recognition problem and compare different methods by using traditional hand-crafted features and convolutional neural networks (CNNs). To this aim, we ...
Your Story6y
Speech-to-Text using Convolutional Neural Networks - YourStory
Deep Learning beginners quickly learn that Recurrent Neural Network (RNNs) are for building models for sequential data tasks (such as language translation) whereas Convolutional Neural Networks ...
PNAS3y
Data-driven emergence of convolutional structure in neural networks
Simplicity biases of this kind have been analyzed in simple models of neural networks (51, 53, 63–65) and have been demonstrated in modern convolutional networks . The sequential learning of ...
Scientific Research Publishing4mon
Predicting Categories and Ingredients of Traditional Dishes Using Deep Learning and Cross-Attention Mechanism - Scientific Research Publishing
The food recognition systems are available for foreign dishes but much work has not been done for our traditional dishes making it ... J., Alexander, Josephus, B.O. and Nawir, A.H. (2022) Indonesian ...
IEEE7y
Vietnamese food recognition using convolutional neural networks
In this paper, we investigate Vietnamese food recognition problem and compare different methods by using traditional hand-crafted features and convolutional neural networks (CNNs). To this aim, we ...