Topic: activation-function Goto Github
Some thing interesting about activation-function
Some thing interesting about activation-function
activation-function,Hyper-Flexible Convolutional Neural Networks Based on Generalized Lehmer and Power Means
Organization: adversarial-intelligence-group
activation-function,This is a repository for Multi-Layer Perceptron and Logistic Regression. There is a code (function) for Logistic Regression. SOme analysis is performed on the function. This is compared with the sklearn Logistic Regression function. Then, the decision boundary has also been plotted for the classification. The next part is the basic neural network. A class and a function has been created for this and it has been used for digit classification (mnist dataset).
User: akhileshravi
activation-function,A small walk-through to show why ReLU is non linear!
User: bhattbhavesh91
activation-function,Logit-space logical activation functions for pytorch
Organization: dalhousieai
activation-function,PyTorch implementation of the Leaky Hardtanh activation function
User: erikbuh
activation-function,Co-VeGAN: Complex-Valued Generative Adversarial Network for Compressive Sensing MR Image Reconstruction
User: estija
activation-function,[ICLR 2024] Dynamic Neural Response Tuning
User: horrible-dong
Home Page: https://openreview.net/pdf?id=HiTg16qhxp
activation-function,Javascript implementation of some activation functions.
User: howion
activation-function,Artificial Intelligence Learning Notes.
User: jackpopc
Home Page: https://github.com/Jackpopc/aiLearnNotes
activation-function,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.
User: khaledashrafh
activation-function,Deep Learning concepts practice using Cifar-10 dataset
User: kuntala-c
activation-function,Implementing an Image classification neural network to classify Street House View Numbers
User: laxmichaudhary
activation-function,Implement Back Propagation in deep neural network (DNN).
User: liuliuod
activation-function,m-arcsinh: A Reliable and Efficient Function for Supervised Machine Learning (scikit-learn, TensorFlow, and Keras) and Feature Extraction (scikit-learn)
User: luca-parisi
activation-function,step by step tutorial for ANN
User: mbshbn
activation-function,Understanding DNN
User: mohit1997
activation-function,Neural_Networks_From_Scratch
User: moindalvs
activation-function,:package: Non-official SPOCU activation function implementation for Pytorch and Tensorflow.
User: pacocp
Home Page: https://pypi.org/project/spocu/
activation-function,ActTensor: Activation Functions for TensorFlow. https://pypi.org/project/ActTensor-tf/ Authors: Pouya Ardehkhani, Pegah Ardehkhani
User: pouyaardehkhani
activation-function,Design of a CNN (Convolutional Neural Networks) to classify CIFAR-10 images
User: rabieifk
activation-function,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.
User: rimtouny
activation-function,Source for the paper "Universal Activation Function for machine learning"
Organization: sensororgnet
Home Page: http://sensor-net.net
activation-function,:white_check_mark: Optimized Swish activation function, for neural networks
User: xyproto
activation-function,A feedforward multilayer perceptron with gradient descent & backpropagation written from scratch in Java
User: yangrussell
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