Train LSTM model on training data and validate on validation data for parameter tuning. It is in TSV format files.Report accuracy on test data
-
Updated
May 20, 2020
#
drop-out-layer
Here are 2 public repositories matching this topic...
Generic L-layer 'straight in Python' fully connected Neural Network implementation using numpy.
python
neural-network
numpy
gradient-descent
l2-regularization
softmax
fully-connected-network
sigmoid
tanh
he-initializer
xavier-initializer
leaky-relu
adam-optimizer
mini-batch-gradient-descent
relu
deep-neural-network
l-layer-neural-network
weights-initialization
momentum-optimization-algorithm
drop-out-layer
-
Updated
May 29, 2021 - Python
Improve this page
Add a description, image, and links to the drop-out-layer topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the drop-out-layer topic, visit your repo's landing page and select "manage topics."