What is the difference between a convolutional neural network …
2018年3月8日 · A convolutional neural network (CNN) is a neural network where one or more of the layers employs a convolution as the function applied to the output of the previous layer. If …
In a CNN, does each new filter have different weights for each …
Typically for a CNN architecture, in a single filter as described by your number_of_filters parameter, there is one 2D kernel per input channel. There are input_channels * …
When training a CNN, what are the hyperparameters to tune first?
Firstly when you say an object detection CNN, there are a huge number of model architectures available. Considering that you have narrowed down on your model architecture a CNN will …
CNN Architectures for local features vs global context
2021年10月27日 · There are CNN architectures that, in parallel, use different scales of local features, such as the Inception architecture and ResNext; Both combine local features on …
convolutional neural networks - When to use Multi-class CNN vs.
2021年9月30日 · I'm building an object detection model with convolutional neural networks (CNN) and I started to wonder when should one use either multi-class CNN or a single-class CNN. …
Extract features with CNN and pass as sequence to RNN
2020年9月12日 · $\begingroup$ But if you have separate CNN to extract features, you can extract features for last 5 frames and then pass these features to RNN. And then you do CNN part for …
neural networks - Are fully connected layers necessary in a CNN ...
2019年8月6日 · A convolutional neural network (CNN) that does not have fully connected layers is called a fully convolutional network (FCN). See this answer for more info. An example of an …
What is a cascaded convolutional neural network?
To realize 3DDFA, we propose to combine two achievements in recent years, namely, Cascaded Regression and the Convolutional Neural Network (CNN). This combination requires the …
What is the difference between CNN-LSTM and RNN?
So let's just focus on the CNN part in CNN-LSTM. What's the difference between a plain RNN and a CNN-RNN, (more generally called convolutional RNN or ConvRNN)? The equations which …
How to use CNN for making predictions on non-image data?
You can use CNN on any data, but it's recommended to use CNN only on data that have spatial features (It might still work on data that doesn't have spatial features, see DuttaA's comment …