GitHub - AlessandroVaraldi/approx-activations-lstm: valuate LUT-based sigmoid/tanh approximations in a minimal LSTM classifier, with optional quantization-aware training.

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
acts		acts
.gitignore		.gitignore
lstm_cell.py		lstm_cell.py
test_cifar100.py		test_cifar100.py
test_mnist.py		test_mnist.py
train_cifar100.py		train_cifar100.py
train_mnist.py		train_mnist.py

About

valuate LUT-based sigmoid/tanh approximations in a minimal LSTM classifier, with optional quantization-aware training.

No releases published