What is the fundamental difference between CNN and RNN?
CNN vs RNN A CNN will learn to recognize patterns across space while RNN is useful for solving temporal data problems. CNNs have become the go-to method for solving any image data …
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 · 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 6th frame …
What is the difference between a convolutional neural network …
2018年3月8日 · The class of ANN covers several architectures including Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN) eg LSTM and GRU, Autoencoders, and …
Why does the transformer do better than RNN and LSTM in long …
2020年4月7日 · Another problem with RNNs, and LSTMs, is that it’s hard to parallelize the work for processing sentences, since you have to process word by word. Not only that but there is …
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 ...
2022年4月14日 · We've all read the attention is all you need paper, but is it really all you need? Can you effectively replace any RNN/CNN with an attention transformer and see better results?
neural networks - What is the difference between LSTM and RNN ...
2021年12月12日 · The main difference between an LSTM unit and a standard RNN unit is that the LSTM unit is more sophisticated. More precisely, it is composed of the so-called gates that …
computer vision - Object IN/OUT counting using CNN+RNN
The common, but inefficient, artificial network approach is to locate the bicycle in each frame with a CNN and then use one of the progressive RNN types (either a GRU or a b-LSTM network) to …
What exactly is a hidden state in an LSTM and RNN?
2021年1月17日 · The hidden state in a RNN is basically just like a hidden layer in a regular feed-forward network - it just happens to also be used as an additional input to the RNN at the next …