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A Comparison of Quantized Convolutional and LSTM Recurrent Neural Network Models Using MNIST

Research article (2019 International Conference on Electrical and Computing Technologies and Applications (ICECTA), 2019) · cited 25× · AI/ML
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A Comparison of Quantized Convolutional and LSTM Recurrent Neural Network Models Using MNIST

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A Comparison of Quantized Convolutional and LSTM Recurrent Neural Network Models Using MNIST is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A Comparison of Quantized Convolutional and LSTM Recurrent Neural Network Models Using MNIST. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-comparison-of-quantized-convolutional-and-lstm-recurrent-neural-network-models-using-mnist
MLA “A Comparison of Quantized Convolutional and LSTM Recurrent Neural Network Models Using MNIST.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-comparison-of-quantized-convolutional-and-lstm-recurrent-neural-network-models-using-mnist.
BibTeX @misc{4ortxyz_a-comparison-of-quantized-convolutional-and-lstm-recurrent-neural-network-models-using-mnist_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Comparison of Quantized Convolutional and LSTM Recurrent Neural Network Models Using MNIST}}, year = {2026}, url = {https://4ort.xyz/entity/a-comparison-of-quantized-convolutional-and-lstm-recurrent-neural-network-models-using-mnist}, note = {Accessed: 2026-05-24}}
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