ActTensor: Activation Functions for TensorFlow. https://pypi.org/project/ActTensor-tf/ Authors: Pouya Ardehkhani, Pegah Ardehkhani
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Updated
May 4, 2024 - Python
ActTensor: Activation Functions for TensorFlow. https://pypi.org/project/ActTensor-tf/ Authors: Pouya Ardehkhani, Pegah Ardehkhani
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
[ICLR 2024] Dynamic Neural Response Tuning
Predicting patient attendance at Bay Clinic using 'medicalcentre.csv'. Employing SVM, Decision Trees, and DNN models for accuracy, sensitivity, specificity evaluation, and ROC analysis. Part of a Data Science course in my master's program at the University of Ottawa 2023.
Co-VeGAN: Complex-Valued Generative Adversarial Network for Compressive Sensing MR Image Reconstruction
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.
Artificial Intelligence Learning Notes.
✅ Optimized Swish activation function, for neural networks
Logit-space logical activation functions for pytorch
PyTorch implementation of the Leaky Hardtanh activation function
Neural_Networks_From_Scratch
Hyper-Flexible Convolutional Neural Networks Based on Generalized Lehmer and Power Means
📦 Non-official SPOCU activation function implementation for Pytorch and Tensorflow.
Deep Learning concepts practice using Cifar-10 dataset
Source for the paper "Universal Activation Function for machine learning"
m-arcsinh: A Reliable and Efficient Function for Supervised Machine Learning (scikit-learn, TensorFlow, and Keras) and Feature Extraction (scikit-learn)
A small walk-through to show why ReLU is non linear!
Design of a CNN (Convolutional Neural Networks) to classify CIFAR-10 images
Javascript implementation of some activation functions.
step by step tutorial for ANN
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