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
Co-VeGAN: Complex-Valued Generative Adversarial Network for Compressive Sensing MR Image Reconstruction
Javascript implementation of some activation functions.
Source for the paper "Universal Activation Function for machine learning"
Understanding DNN
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.
✅ 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)
📦 Non-official SPOCU activation function implementation for Pytorch and Tensorflow.
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
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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