Following dataset consist of figures which are used during the training of the convolutional neural network as well as saved weights of the convolutional neural network after the training
Deep learning, in general, was built on input data transformation and presentation, model training w...
This research developed a training method of Convolutional Neural Network model with multiple datase...
Convolutional Neural Networks (CNN) is the latest development of neural network. It is a deep learni...
This zip file includes the first subset of training images used for training this CNN. This data is ...
This zip file includes the second subset of training images used for training this CNN. This data is...
.mat files that were generated to train a convolutional physics-informed neural network
Deep neural networks are representation learning techniques. During training, a deep net is capable ...
Training data is the bottleneck for training Convolutional Neural Networks. A larger dataset gives b...
CNN Filter DB: An Empirical Investigation of Trained Convolutional. Poster as presented at CVPR2022...
Currently, many theoretical as well as practically relevant questions towards the transferability an...
Computer vision has become increasingly important and effective in recent years due to its wide-rang...
In recent times, we have seen a surge in usage of Convolutional Neural Networks to solve all kinds o...
In this thesis we have looked into the complexity of neural networks. Especially convolutional neura...
This thesis concerns itself with the use and examination of convolutional neural networks in the con...
Analytical expressions for visual representations have been derived and they have been related to co...
Deep learning, in general, was built on input data transformation and presentation, model training w...
This research developed a training method of Convolutional Neural Network model with multiple datase...
Convolutional Neural Networks (CNN) is the latest development of neural network. It is a deep learni...
This zip file includes the first subset of training images used for training this CNN. This data is ...
This zip file includes the second subset of training images used for training this CNN. This data is...
.mat files that were generated to train a convolutional physics-informed neural network
Deep neural networks are representation learning techniques. During training, a deep net is capable ...
Training data is the bottleneck for training Convolutional Neural Networks. A larger dataset gives b...
CNN Filter DB: An Empirical Investigation of Trained Convolutional. Poster as presented at CVPR2022...
Currently, many theoretical as well as practically relevant questions towards the transferability an...
Computer vision has become increasingly important and effective in recent years due to its wide-rang...
In recent times, we have seen a surge in usage of Convolutional Neural Networks to solve all kinds o...
In this thesis we have looked into the complexity of neural networks. Especially convolutional neura...
This thesis concerns itself with the use and examination of convolutional neural networks in the con...
Analytical expressions for visual representations have been derived and they have been related to co...
Deep learning, in general, was built on input data transformation and presentation, model training w...
This research developed a training method of Convolutional Neural Network model with multiple datase...
Convolutional Neural Networks (CNN) is the latest development of neural network. It is a deep learni...
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