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... ...

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

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

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

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

Learning about Perceptron and Multi layered perceptron

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

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

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

Deep Learning & Labs Course, NYCU, 2023

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

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

Python version of Andrew Ng's Machine Learning Course.

A C++ machine learning framework/library.

CNN, ANN, Python, Matlab

A comparison of fully connected network (forward and backward propagation) implementations.

Digit Recognition Neural Network: Built from scratch using only NumPy. Optimised version includes HOG feature extraction. Third version utilises prebuilt ML libraries.

Fit functions using the Backpropagation Algorithm. 一个使用反向传播算法拟合函数的工具。

Create a Deep Neural Network from Scratch using Python3.