Deep Learning with Exponential Linear Units (ELUs) activation function

Project Regarding Analysis and Implementation of https://arxiv.org/abs/1602.02068

The Deep Learning exercises provided in DataCamp

Jupyter Notebooks for Visualization

Explains the basic concepts of NN like activation functions, forward propagation, backward propagation, gradient descent, finding the optimized weights and bias etc.

Bag of: activation functions, L2Norm function, cosine similarity function, how to read glove vector files

To draw activation functions, i.e., to get images of activation functions

Graduated optimization on neural networks via adjustment of activation functions

[TCAD 2018] Code for “Design Space Exploration of Neural Network Activation Function Circuits”

Essential deep learning algorithms, concepts, examples and visualizations with TensorFlow. Popular and custom neural network architectures. Applications of neural networks.

Feed Forward Neural Network to classify the FB post likes in classes of low likes or moderate likes or high likes, back propagtion is implemented with decay learning rate method

Growing collection of different machine learning metrics.

Artificial Neural Networks Activation Functions

A Basic Introduction To Neural Networks: Machine Being Human!

A teacher-student activation layer model based on perceptrons, implemented in PyTorch

This is a Keras implementation of the paper "LiSHT: Non-Parametric Linearly Scaled Hyperbolic Tangent Activation Function for Neural Networks" - https://arxiv.org/abs/1901.05894

Visualizations of various activation functions for neural networks in TensorFlow

Bionodal Root Unit (BRU) implemented with Chainer-v5