Topic: backward-propagation Goto Github
Some thing interesting about backward-propagation
Some thing interesting about backward-propagation
backward-propagation,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.
User: aadityasikder
backward-propagation,This repository provides the Implementation of logic gates using neural networks.
User: ajaybiswas22
backward-propagation,Implementing Neural network from scratch
User: akarshan-jaiswal
backward-propagation,It's a demonstration for implementing NN without using any deep learning library.
User: amber0914
backward-propagation,Learning about Perceptron and Multi layered perceptron
User: apoorv070
backward-propagation,A.K.A. NUS ME5411 Final Project. Implemented a CNN framework without off-the-shelf libraries and its application for character recognition.
User: brian00715
backward-propagation,The code of forward propagation , cost function , backpropagation and visualize the hidden layer.
User: chiapeilin
backward-propagation,CNN, ANN, Python, Matlab
User: cicifly
backward-propagation,This is a project to recognize cat using logistic regression with Neural Network concepts of backward and forward propagation from DeepLearning.AI.
User: cs-ponkoj
backward-propagation,Tugas praktikum Data Mining I
User: dhwabqryh
backward-propagation,Curso Neural Networks and Deep Learning. Primer curso del programa especializado Deep Learning. Este repositorio contiene todos los ejercicios resueltos. https://www.coursera.org/learn/neural-networks-deep-learning
User: dunittmonagas
backward-propagation,A feedforward neural network from scratch without any high level deep learning libraries. Pure mathematics and NumPy.
User: erniw
backward-propagation,A simple mimicking of TensorFlow, which including forward and backward propogation.
User: eruimdas
backward-propagation,backward_step, a FreeFem++ code which solves the backward step benchmark problem for Navier Stokes flow.
Organization: freefemexamples
backward-propagation,Built a simple RNN Model using NumPy
User: grvnair
backward-propagation,This repository contains the solutions of Coursera course Intro to Deep Learning Solutions
User: hardikkhatri123
backward-propagation,I have implemented some AI projects from scratch implementation without explicit use of the built-in-libraries and thus added to this repo.
User: hasanur-rahman
backward-propagation,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
User: hellonlp
backward-propagation,Fit functions using the Backpropagation Algorithm. 一个使用反向传播算法拟合函数的工具。
User: iforever-yh
backward-propagation,Deep Learning & Labs Course, NYCU, 2023
User: lin-tzuling
backward-propagation,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.
User: liyan-97
backward-propagation,Desenvolvimento de ferramenta para efetuar a Modelagem e a Migração Sísmica de um modelo 2D.
User: marcelogcardozo
backward-propagation,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
User: mattsankner
Home Page: https://www.youtube.com/watch?v=VMj-3S1tku0
backward-propagation,Deep Learning Specialization (5 Courses) . Course offered by deeplearning.ai and Coursera. Taught by Andrew Ng.
User: mbadrinarayanan
backward-propagation,Implementation of Artificial Neural Network from Scratch using Python and Jupyter Notebook
User: mikeleo03
backward-propagation,Create a Deep Neural Network from Scratch using Python3.
Organization: ml-repos
backward-propagation,Gradient Checking: Demonstrates 1D and ND gradient checking techniques to verify the accuracy of gradients in neural networks. Inspired by DeepLearning.AI's Deep Learning Specialization.
User: mohammedsaqibms
backward-propagation,A tool that quickly and accurately segments Urdu sentences and words in your text.
User: muhammadshaffay
backward-propagation,A Neural Network Architecture
User: nareshkumar66675
backward-propagation,Implemented Convolutional Neural Network, LSTM Neural Network, and Neural Network From Scratch in Python Language.
User: navjindervirdee
backward-propagation,To build a multilayer perceptron model and to train datas from it
User: nshnt1999
backward-propagation,A gentle introduction to custom gradient propagation for ML application in which parameters of LTI systems have to be optimized. This example enables the integration of control theory with machine learning, for the development of Physical-Informed Neural Networks (PINNs)
User: oselin
backward-propagation,
User: pppw
backward-propagation,Python version of Andrew Ng's Machine Learning Course.
User: raffal88
Home Page: https://github.com/raffal88
backward-propagation,Explains the basic concepts of NN like activation functions, forward propagation, backward propagation, gradient descent, finding the optimized weights and bias etc.
User: rhl-gupta
backward-propagation,Neural Network using NumPy, V1: Built from scratch. V2: Optimised with hyperparameter search.
User: sef007
backward-propagation,Digit Recognition Neural Network: Built from scratch using only NumPy. Optimised version includes HOG feature extraction. Third version utilises prebuilt ML libraries.
User: sef007
backward-propagation,Logistic Regression and Neural Networks implementation from scratch
User: sonisiddharth
backward-propagation,A C++ machine learning framework/library.
Organization: tensor-array
backward-propagation,In this repo, I tried to upload basic components of Neural Network. It will eventually help to understand the core ideas of NN.
User: xahid007
backward-propagation,A highly modular design and implementation of fully-connected feedforward neural network structured on NumPy matrices
User: xujiachang1024
backward-propagation,A comparison of fully connected network (forward and backward propagation) implementations.
User: yashsriram
Home Page: https://yashsriram.github.io/spnn/
backward-propagation,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... ...
User: yizt
backward-propagation,building a deep neural network with as many layers as you want!
User: zahra-bakhtiari
backward-propagation,Building a cat classifier via L-layer neural network
User: zahra-bakhtiari
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