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A Visual Guide to Recurrent Layers in Keras
Understand how to use Recurrent Layers like RNN, GRU and LSTM in Keras with diagrams.
recurrent-neural-networks lstm keras tensorflow
The Sorcerer’s Apprentice Guide to Training LSTMs
Tricks of the trade for training Long Short-Term Memory networks.
recurrent-neural-networks lstm tips article
TOMA: Torch Memory-adaptive Algorithms
Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory.
training cuda lstm gpu
AllenNLP Interpret
A Framework for Explaining Predictions of NLP Models
interpretability explainability natural-language-processing api
Easy OCR
Ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai.
optical-character-recognition resnet lstm computer-vision
Understanding LSTM Networks
A closer look at the inner workings of LSTM networks.
recurrent-neural-networks lstm tutorial article
Recurrent Neural Networks: building GRU cells VS LSTM cells
What are the advantages of RNN’s over transformers? When to use GRU’s over LSTM? What are the equations of GRU really mean? How to build a GRU cell in ...
recurrent-neural-networks deep-learning machine-learning sequence-to-sequence
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