IIIT-Delhi Institutional Repository

Browsing Year-2020 by Subject "convolutional neural networks, datasets, genetic algorithm, memetic algorithm, cross entropy loss, vector representation, performance prediction, ResNet, architecture search, sequence-to-sequence model, dataset, description, regression models, epoch prediction, image datasets, architecture vector representation, dataset vector representation, ”ease of classifying” dataset"

Browsing Year-2020 by Subject "convolutional neural networks, datasets, genetic algorithm, memetic algorithm, cross entropy loss, vector representation, performance prediction, ResNet, architecture search, sequence-to-sequence model, dataset, description, regression models, epoch prediction, image datasets, architecture vector representation, dataset vector representation, ”ease of classifying” dataset"

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  • Predicting deep learning architecture 
    Chauhan, Arushi; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT-Delhi, 2020-06-02)
    Convolutional neural networks are being extensively used in real world applications like image and video classification, natural language processing, medical image analysis, recommender systems etc. where previously machine ...

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