backward-propagation 开源项目推荐（59 个）

yizt /numpy_neural_network

仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层；以及图像分类案例及精调网络案例等,持续更新中... ...

PPPW /deep-learning-random-explore

该项目在 GitHub 上没有填写描述

navjindervirdee /neural-networks

Implemented Convolutional Neural Network, LSTM Neural Network, and Neural Network From Scratch in Python Language.

EimanTahir027 /Neural-Networks-and-Deep-Learning-Fundamentals

A structured, hands-on guide to neural networks and deep learning fundamentals, covering forward propagation, activation functions, backpropagation, optimization, TensorFlow, Keras, PyTorch, and CIFAR-10 image classification.

hellonlp /deep-learning

搭建、深度学习、前向传播、反向传播、梯度下降和模型参数更新、classification、forward-propagation、backward-propagation、gradient descent、python、text classification

marcelogcardozo /migracao-sismica

Desenvolvimento de ferramenta para efetuar a Modelagem e a Migração Sísmica de um modelo 2D.

Zahra-Bakhtiari /Building-Deep-Neural-Network-Step-by-Step-Instruction

building a deep neural network with as many layers as you want!

AminRezaeeyan /DeepDigitor

A from-scratch Multilayer Perceptron (MLP) for classifying MNIST handwritten digits. Built without TensorFlow, Keras, or PyTorch, using only basic Python and CuPy.

Lin-TzuLing /NYCU-DLP-2023

Deep Learning & Labs Course, NYCU, 2023

Apoorv070 /Deep_learning_Basics

Learning about Perceptron and Multi layered perceptron

SimonKennethRobo /CNN-From-Scratch

A.K.A. NUS ME5411 Final Project. Implemented a CNN framework without off-the-shelf libraries and its application for character recognition.

FreeFEMExamples /backward_step

backward_step, a FreeFem++ code which solves the backward step benchmark problem for Navier Stokes flow.

samyo00 /Neural-Network-from-scratch

Neural Network from scratch using Python and NumPy, featuring forward/backward propagation and basic optimizers. Perfect for learning deep learning fundamentals.

Tensor-Array /Tensor-Array

A C++ machine learning framework/library.

mattsankner /micrograd

I build the Micrograd autogradient engine, which is a functioning neural network with forward pass, backward propagation, and stochastic gradient descent, all built from scratch. This is derived from the great @karpathy micrograd lecture. Each notebook is complete with Andrei's lecture code and speech, as well as my own code, anecdotes and addition

Rex-8 /MNIST-4-layer

Implementing a 4 layer neural to identify digits from a 28x28 grid using just python and numpy

xujiachang1024 /NumPy-based-Neural-Network

A highly modular design and implementation of fully-connected feedforward neural network structured on NumPy matrices

CICIFLY /Deep-Learning-Projects

CNN, ANN, Python, Matlab

LucasInOz /gonet

A pure Go neural network implementation with a Transformer implementation example (a project only for fun)

LiYan-97 /CG_SF64

This code uses computational graph and neural network to solve the five-layer traffic demand estimation in Sioux Falls network. It also includes comparison of models and 10 cross-validations.