LSTM networks are typically not used for what type of data?
A) handwriting recognition
B) speech recognition
C) image recognition
D) machine translation

Question

Quizplus · Accepted Answer

LSTM (Long Short-Term Memory) networks are a type of recurrent neural network (RNN) that are well-suited for sequential data or time series data, such as text, speech, and video. They are commonly used in handwriting recognition, speech recognition, and machine translation because these applications involve sequences where the context and order of elements are important. However, for image recognition, CNNs (Convolutional Neural Networks) are typically more suitable because they are better at capturing spatial hierarchies in images. LSTMs can be used in conjunction with CNNs for certain types of image-related tasks (like image captioning), but for the core task of image recognition, CNNs are the standard choice.

LSTM Networks Are Typically Not Used for What Type of Data