quick 'n' dirty neural network (for practical use)

Create an iterator which evaluates the standard logistic function for each iterated value.

Standard logistic function.

Create an iterator which evaluates the logit function for each iterated value.

Logit function.

校招、秋招、春招、实习好项目！带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step

Projeto que implementa um sistema de lógica fuzzy com funções sigmoides e operadores lógicos AND/OR. Útil para tomada de decisão em ambientes com incerteza, como controle de sistemas e inteligência artificial.

An activation function in the context of neural networks is a mathematical function applied to the output of a neuron. The purpose of an activation function is to introduce non-linearity into the model, allowing the network to learn and represent complex patterns in the data.

Matrix library (Linear Algebra)

Data Science Project: Comparing 3 Deep Learning Methods (CNN, LSTM, and Transfer Learning).

Implementations of neural networks in python for the classification of MNIST datasets.

"The 'Activation Functions' project repository contains implementations of various activation functions commonly used in neural networks. "

NTUEE IC Design 23Fall HW4

Rethinking of Pedestrian Attribute Recognition: A Reliable Evaluation under Zero-Shot Pedestrian Identity Setting

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.

Web Portfolio

ml5 (friendly machine learning for the web) SharePoint Framework (SPFx) extension

This is a compact working example of a perceptron with sigmoid function in python.