# Tags

- neural_network
^{3} - layer-drop
^{1} - quantization
^{1} - sparsity
^{1} - softmax
^{2} - numerical_stability
^{1} - cross_validation
^{1} - model_fitting
^{1} - random_seed
^{1} - knn
^{1} - GRU
^{1} - attention
^{1} - loss
^{1} - ammi
^{1} - master's
^{1} - speech
^{1} - asr
^{1} - tts
^{1} - metrics
^{1}

## neural_network

- From GRU to Transformer - Jun 12, 2020
- K Nearest Neighbor as a Neural Network - May 23, 2020
- Making Efficient Neural Networks - Apr 19, 2020

## layer-drop

- Making Efficient Neural Networks - Apr 19, 2020

## quantization

- Making Efficient Neural Networks - Apr 19, 2020

## sparsity

- Making Efficient Neural Networks - Apr 19, 2020

## softmax

- K Nearest Neighbor as a Neural Network - May 23, 2020
- You Don't Really Know Softmax - Apr 26, 2020

## numerical_stability

- You Don't Really Know Softmax - Apr 26, 2020

## cross_validation

## model_fitting

## random_seed

## knn

- K Nearest Neighbor as a Neural Network - May 23, 2020

## GRU

- From GRU to Transformer - Jun 12, 2020

## attention

- From GRU to Transformer - Jun 12, 2020

## loss

- Breaking down the CTC Loss - Jul 17, 2020

## ammi

- How to get the best out of your AMMI programme - Aug 03, 2020

## master's

- How to get the best out of your AMMI programme - Aug 03, 2020