… in the field where training deep learning machines such as CNNs require a large amount of
… potentials when comparing against MTANNs, we explored 4 distinct CNN architectures and …

… Consequently, in this work we evaluate several deep-learning architectures with Spanish
pre-trained word-embeddings and compare the results with strong baselines based on term-…

… of machine learning with shallow and deep architecture [10]. This … Shallow model learning
is a type of machine learning … well-known shallow machine learning algorithms: ANN with …

… the comparison between parallel and shared-type architectures of two-input MLSs for vision
tasks. The experiments conirm that the shared type architecture … a shared machine learning …

… In this paper, the results and comparison between these three classifiers are presented. …
On comparing the results of the ML classifiers, we found that we could achieve comparable …

… architectures for Big Data analysis and methods of evaluating between competing instream
machine learning … suitable streaming learning algorithms along with architecture and strategy …

… the need for a comparison of different machine learning methods with deep learning across
an … , prospective testing as well as assessment of different fingerprints and DNN architectures …

… on two custom CNN architectures applied to mel-… architectures allow for the identification
of biomarkers and demonstrate the ongoing relevance of traditional ML versus deep learning …

… the most suitable neural architecture for application of LFD in learning different robot actions…
for ANN learning. Consequently, the learning capability is measured by comparing the error …

… in order to enable a fair comparison of the two architectures since DIMA’s FR fetches B-bits
within a BL swing VBL, in contrast to the digital architecture, which reads a single bit in the …