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backward-propagation

Here are 46 public repositories matching this topic...

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... ...

numpy cnn dnn vgg backward-propagation neuron-network

Updated Nov 28, 2020
Jupyter Notebook

PPPW / deep-learning-random-explore

deep-learning keras lstm fastai cnn-architecture backward-propagation

Updated Aug 9, 2019
Jupyter Notebook

navjindervirdee / neural-networks

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

Updated Sep 19, 2018
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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

python text-classification numpy gradient-descent backward-propagation forward-propagation

Updated Jan 29, 2024
Python

marcelogcardozo / migracao-sismica

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

time numpy modeling dimensions migration scipy reverse matplotlib forwarding rtm numba reynolds forward modelagem backward-propagation marmousi seismogram-marmousi cerjan seismogram

Updated Nov 13, 2022
Python

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

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

cost-function sigmoid-function relu deep-neural-network backward-propagation forward-propagation

Updated Sep 19, 2022
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Apoorv070 / Deep_learning_Basics

Learning about Perceptron and Multi layered perceptron

deep-neural-networks deep-learning classification backward-propagation forward-propagation

Updated Jul 1, 2020
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FreeFEMExamples / backward_step

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

shell shell-script fenics backward-propagation navier-stokes-equations

Updated Jul 28, 2020
Shell

raffal88 / Machine-learning

Python version of Andrew Ng's Machine Learning Course.

python linear-regression data-visualization neural-networks logistic-regression regularization support-vector-machine polynomial-regression spam-classifier principal-component-analysis kmeans-clustering overfitting underfitting backward-propagation forward-propagation minimize-function

Updated Nov 19, 2019
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brian00715 / 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.

neural-network cnn gradient-descent character-recognition backward-propagation

Updated Apr 14, 2024
MATLAB

xujiachang1024 / NumPy-based-Neural-Network

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

machine-learning framework deep-learning neural-network optimization numpy matrix artificial-intelligence feedforward-neural-network gradient-descent feedforward backward-propagation forward-propagation

Updated Feb 14, 2019
Python

Tensor-Array / Tensor-Array

A C++ machine learning framework/library.

machine-learning deep-neural-networks deep-learning neural-network cpp gpu automatic-differentiation deep-reinforcement-learning gpu-computing multi-dimensional-array backward-propagation

Updated Jan 26, 2024
C++

CICIFLY / Deep-Learning-Projects

CNN, ANN, Python, Matlab

artificial-neural-networks backward-propagation forward-propagation

Updated May 8, 2019
Python

yashsriram / spnn

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

gpu openmp cuda blas openblas fully-connected-network backward-propagation forward-propagation

Updated Nov 4, 2022
C++

Lin-TzuLing / NYCU-DLP-2023

Deep Learning & Labs Course, NYCU, 2023

deep-neural-networks deep-learning dqn ddpg diabetic-retinopathy-detection conditional-vae 2048-game eeg-classification backward-propagation dqn-pytorch ddpg-pytorch ddpm

Updated Jan 9, 2024
Jupyter Notebook

sef007 / NN-Numpy-Only-HOG-Feature-Extraction-and-ML-Library-Integration

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

numpy sklearn keras pandas gradient-descent hog-features backward-propagation activation-functions one-hot-encoding weights-and-biases forward-propogation neural-network-numpy-only

Updated Oct 1, 2023
Python

iforever-yh / BP_FittingTool

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

python neural-network backward-propagation

Updated Jul 11, 2023
Python

ml-repos / Deep-Neural-Network

Create a Deep Neural Network from Scratch using Python3.

deep-learning neural-network tensorflow python3 batch-normalization regularization transfer-learning hyperparameter-tuning bias-variance gradient-descent-algorithm adam-optimizer cost-function backward-propagation activation-functions

Updated Sep 20, 2020
HTML

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

machine-learning calculus numpy pytorch neural-networks derivatives stochastic-gradient-descent backward-propagation binaryclassification

Updated Jul 21, 2024
Jupyter Notebook

chiapeilin / Neural-Network

The code of forward propagation , cost function , backpropagation and visualize the hidden layer.

hidden-layers cost-function backward-propagation forward-propagation

Updated Jul 19, 2018
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