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Is there a common way to build a neural network that seeks to extract spatial and temporal information simultaneously?

neural-networks convolutional-neural-networks recurrent-neural-networks long-short-term-memory multilayer-perceptron

answered Oct 22 at 7:37 JVGD 398

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How to have closer validation loss and training loss in training a CNN

convolutional-neural-networks training convergence

modified Oct 21 at 10:45 amin 328

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When training a CNN, what are the hyperparameters to tune first?

convolutional-neural-networks training computer-vision optimization hyperparameter-optimization

modified Oct 19 at 16:05 Community♦ 1

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Pytorch Deep q network not learning and step not stepping towards target

reinforcement-learning convolutional-neural-networks python q-learning pytorch

answered Oct 18 at 16:30 Tom Dörr 1

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When should we use separable convolution?

convolutional-neural-networks convolution

modified Oct 18 at 15:03 pasaba por aqui 954

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What is the need for so many filters in a CNN?

convolutional-neural-networks computer-vision keras filters convolutional-layer

modified Oct 15 at 21:18 nbro♦ 21.1k

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How to construct input dependent convolutional filter?

convolutional-neural-networks tensorflow keras variational-autoencoder filters

modified Oct 15 at 5:01 Community♦ 1

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How can I train a CNN to detect when a person is smoking outside of shop given images from a video camera?

convolutional-neural-networks classification computer-vision image-recognition object-recognition

modified Oct 15 at 2:46 desertnaut 472

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Best Camera and protocol for embedded real time CNN project

convolutional-neural-networks python hardware

modified Oct 14 at 23:01 Community♦ 1

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Is it possible to know the distance objects are from camera based on only knowing one object's height?

neural-networks convolutional-neural-networks datasets math

modified Oct 14 at 22:46 FourierFlux 602

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CNN for detecting not just the nature of the object, but position within image as well

image-recognition convolutional-neural-networks

answered Oct 14 at 0:29 Funkodebat 111

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Computer vision - Can you put more weight on a specific part of the object?

neural-networks machine-learning convolutional-neural-networks computer-vision

asked Oct 13 at 14:44 Stackaloo 1

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Semantic Segmentation For Multiple Objects When Trained On Single Object

neural-networks convolutional-neural-networks image-recognition computer-vision image-segmentation

modified Oct 10 at 5:04 Community♦ 1

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Are mult-adds and FLOPs equivalent?

convolutional-neural-networks terminology papers complexity-theory

modified Oct 9 at 5:02 Community♦ 1

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