AI-Accelerated Product Development
Sequence models: RNN, LSTM & GRU
Total time needed:
Learning the variations of RNNs and the differences between them in one short list
Potential Use Cases
from simple classification problems on sequential input to speech recognition, language modeling, translation, image captioning etc.
Who is This For ?
learners for deep learning in natural language processing
Click on each of the following
to see details.
1. Clearly explained with illustration: LSTM networks
What is different of LSTM from RNN, and why do we need LSTM when we have RNN?
2. Character-level RNN code implementation with pytorch
How do I implement RNN in pytorch and what can be one of the use cases?
3. Illustrated Guide to LSTMs and GRUs
What is GRU?
4. LSTM for POS tagging using Pytorch
How do I implement LSTM in pytorch?
5. Which is the best, GRU or LSTM or simple RNN?
Is any one of those three superior than the other two?