Artificial Intelligence Learning Notes.
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Updated
Mar 25, 2023 - Python
Artificial Intelligence Learning Notes.
ActTensor: Activation Functions for TensorFlow. https://pypi.org/project/ActTensor-tf/ Authors: Pouya Ardehkhani, Pegah Ardehkhani
[ICLR 2024] Dynamic Neural Response Tuning
Javascript implementation of some activation functions.
Co-VeGAN: Complex-Valued Generative Adversarial Network for Compressive Sensing MR Image Reconstruction
Source for the paper "Universal Activation Function for machine learning"
Understanding DNN
✅ Optimized Swish activation function, for neural networks
Neural_Networks_From_Scratch
Implementing an Image classification neural network to classify Street House View Numbers
Hyper-Flexible Convolutional Neural Networks Based on Generalized Lehmer and Power Means
m-arcsinh: A Reliable and Efficient Function for Supervised Machine Learning (scikit-learn, TensorFlow, and Keras) and Feature Extraction (scikit-learn)
This program implements logistic regression from scratch using the gradient descent algorithm in Python to predict whether customers will purchase a new car based on their age and salary.
A small walk-through to show why ReLU is non linear!
PyTorch implementation of the Leaky Hardtanh activation function
Logit-space logical activation functions for pytorch
📦 Non-official SPOCU activation function implementation for Pytorch and Tensorflow.
Comparative Analysis of Activation Functions in Shallow Neural Networks for Multi-Class Image Classification Using MNIST Digits and CIFAR-10 Datasets with Fixed Architectural Parameters
step by step tutorial for ANN
Design of a CNN (Convolutional Neural Networks) to classify CIFAR-10 images
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