Maxout Networks TensorFlow implementation presented in https://arxiv.org/abs/1302.4389
-
Updated
Dec 19, 2018 - Python
#
maxout
Here are 7 public repositories matching this topic...
Interesting python codes to tackle simple machine/deep learning tasks
python
cnn
lstm
batch-normalization
data-analysis
seq2seq
highway-network
knowledge-representation
maxout
r-net
selu
dynamic-memory-network
-
Updated
Nov 3, 2022 - Python
"The 'Activation Functions' project repository contains implementations of various activation functions commonly used in neural networks. "
python
algorithms
swish
gaussian
artificial-neural-networks
prelude
artificial-intelligence-algorithms
maxout
sigmoid
tanh
elu-activation
selu
relu
activation-functions
gelu
sigmoid-activation
relu-activation
tanh-activation
leakyrelu
sigmoid-activation-function
-
Updated
Mar 18, 2024 - Python
Easily write and train Maxout networks
-
Updated
Jun 12, 2020 - Python
💡Implementing a custom Maxout network from scratch (as an extension of nn.Module in Pytorch) and testing model performance on MNIST in comparison to ReLU networks to determine whether Maxout's more complex function approximations can provide higher accuracies in real-world use cases.
-
Updated
Jun 23, 2022 - Jupyter Notebook
Improve this page
Add a description, image, and links to the maxout topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the maxout topic, visit your repo's landing page and select "manage topics."