What is the fundamental difference between CNN and RNN?
However, there are many more applications. In addition, CNN's have performed well on NLP tasks. There are also more advanced versions of RNN's called LSTM's that you could check …
What is the difference between CNN-LSTM and RNN?
An LSTM is a specific type of 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 …
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 …
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 …
RNN / LSTM - Artificial Intelligence Stack Exchange
2020年4月7日 · cnn Also convolutional neural networks are widely used in nlp since they are quite fast to train and effective with short texts. The way they tackle dependencies is by applying …
convolutional neural networks - Why isn't my CNN-RNN model …
2024年9月17日 · I'm working on a model that combines a CNN with an LSTM to process sequences of spectrograms and make per-time-step predictions. The CNN alone performs …
machine learning - Is attention always better then an RNN/CNN ...
$\begingroup$ Note that some LSTM architectures (e.g. for machine translation) that were published before transformers (and its attention mechanism) already used some kind of …
neural networks - What is the difference between LSTM and RNN ...
2021年12月12日 · An LSTM unit is a recurrent unit, that is, a unit (or neuron) that contains cyclic connections, so an LSTM neural network is a recurrent neural network (RNN). LSTM …
computer vision - Object IN/OUT counting using CNN+RNN
However, the CNN approach is excellent for the most upstream operations, such as edge detection and primitive object detection. Let the recurrent network (of the more advanced …
What exactly is a hidden state in an LSTM and RNN?
2021年1月17日 · $\begingroup$ I have a question regarding the output and hidden state here. here i already know what i output will look like at each time step then then should the hidden …