machine learning - What is a fully convolution network? - Artificial ...
Jun 12, 2020 · Fully convolution networks A fully convolution network (FCN) is a neural network that only performs convolution (and subsampling or upsampling) operations. Equivalently, an FCN is a CNN …
Why FCNN is not always better than CNN? - Artificial Intelligence Stack ...
Feb 17, 2023 · 0 Why Fully-Connected Neural Network is not always better than Convolutional Neural Network? FCNN is easily overfitting due to many params, then why didn't it reduce the params to …
neural networks - How can the FCNN reduce the dimensions of the …
Jul 20, 2020 · How can the FCNN reduce the dimensions of the input from $1048 \times 100$ to $523 \times 100$ with max-pooling? Ask Question Asked 5 years, 4 months ago Modified 5 years, 4 …
Are fully connected layers necessary in a CNN?
Aug 6, 2019 · I have implemented a CNN for image classification. I have not used fully connected layers, but only a softmax. Still, I am getting results. Must I use fully-connected layers in a CNN?
What are standard datasets for fully connected neural networks?
I am looking for datasets that are used as a testing standard in the fully connected neural networks (FCNN). For example, in the image recognition and CNN, CIFAR datasets are used in most of the …
deep learning - Artificial Intelligence Stack Exchange
May 22, 2020 · Why do we need convolutional neural networks instead of feed-forward neural networks? What is the significance of a CNN? Even a feed-forward neural network will able to solve the image …
What is the difference between a convolutional neural network and a ...
Mar 8, 2018 · TLDR: The convolutional-neural-network is a subclass of neural-networks which have at least one convolution layer. They are great for capturing local information (e.g. neighbor pixels in an …
neural networks - Artificial Intelligence Stack Exchange
In a convolutional neural network, which layer consumes more training time: convolution layers or fully connected layers? We can take AlexNet architecture to understand this. I want to see the time
Is a GPU always faster than a CPU for training neural networks?
Aug 24, 2019 · Currently, I am working on a few projects that use feedforward neural networks for regression and classification of simple tabular data. I have noticed that training a neural network …
Concatenation of Feature vectors in transformers before passing to fcnn
Aug 17, 2023 · Concatenation of Feature vectors in transformers before passing to fcnn Ask Question Asked 2 years, 3 months ago Modified 2 years, 3 months ago