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backward-propagation

Here are 43 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

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

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
Jupyter Notebook

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
Jupyter Notebook

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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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++

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

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

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
Jupyter Notebook

sef007 / Neural-Network-Email-Classifier-Numpy-Only

Neural Network using NumPy, V1: Built from scratch. V2: Optimised with hyperparameter search.

gradient-descent weight hyperparameter-search backward-propagation activation-functions forward-propagation one-hot-encoding weights-and-biases

Updated Oct 1, 2023
Python

aadityasikder / Neural-Network-from-Scratch-

This notebook demonstrates a neural network implementation using NumPy, without TensorFlow or PyTorch. Trained on the MNIST dataset, it features an architecture with input layer (784 neurons), two hidden layers (132 and 40 neurons), and an output layer (10 neurons) with sigmoid activation.

training neural-network numpy evaluation mnist-dataset backward-propagation forward-propagation neural-networks-from-scratch

Updated Mar 15, 2024
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