forward-propagation

navjindervirdee/neural-networks

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

Akramz/grokking-deep-learning-notebooks

Notes & Code to go over "Grokking Deep Learning" Book by Andrew Trask

hussain0048/Deep-Learning

This repository is a related to all about Deep Learning - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python)

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

srilakshmi-thota/IRIS-DATASET-ANALYSIS-USING-NEURAL-NETWORK

Neural Network with functions for forward propagation, error calculation and back propagation is built from scratch and is used to analyse the IRIS dataset.

bhavaniprasad73/Artificial-Neural-Network

Artificial Neural Network - Wisconsin Breast Cancer Detection

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

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

Apoorv070/Deep_learning_Basics

Learning about Perceptron and Multi layered perceptron

LeeSinLiang/Neural-Network-Manim

Code for my youtube video: Neural Network Crash Course, Ep 1

CICIFLY/Deep-Learning-Projects

CNN, ANN, Python, Matlab

raffal88/Machine-learning

Python version of Andrew Ng's Machine Learning Course.

xujiachang1024/NumPy-based-Neural-Network

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

yashsriram/spnn

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

Access-Denied-001/Neural-Net

Neural Network made by using numpy

alessiopittiglio/image-processing-transmission

Exercises done during the Image Processing and Transmission course

amatov/PowerLineCommunication

ashish230897/Deep-Neural-Networks-From-Scratch

Designing Your Own Deep Neural Network

chiapeilin/Neural-Network

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

ejdecena/Redes-Neuronales

Este repositorio sirve de apoyo en la asignatura de Redes Neuronales.

imkalyan/Neuralnetworks

Some algorithms which uses neural networks to solve i.e., forwardpropagation , etc.,

krtab/fwd_ad

Fwd:AD is a Rust library (crate) to perform forward auto-differentiation, with a focus on empowering its user to manage memory location and minimize copying. This repo is a mirror of https://gitlab.inria.fr/InBio/Public/fwd_ad.

lmbarr/cnn_mnist

CNN MATLAB implementation (including training and forward propagation) to clasifify the MNIST handwritten numbers.

NeckersBOX/n3lib

Neural Network library customizable written in C. Threads implementations in both forward and backward propagation.

OMEGAMAX10/Machine-Learning-Programming-Assigments-Coursera-Andrew-Ng

These are the solutions to the programming assigments from Andrew Ng's "Machine Learning" course from Coursera

PasaOpasen/cost2fitness

PyPI package for 1) conversion cost values (less is better) to fitness values (more is better) and vice versa, 2) using fast neural networks for forward propagation

pradeepdev-1995/Gradient-descent

Gradient descent is a first-order iterative optimization algorithm for finding a local minimum of a differentiable function. To find a local minimum of a function using gradient descent, we take steps proportional to the negative of the gradient (or approximate gradient) of the function at the current point. But if we instead take steps proportional to the positive of the gradient, we approach a local maximum of that function; the procedure is then known as gradient ascent.

rainaa0277/Fashion-MNIST-Classifier-using-ANN

Fashion training set consist of 70,000 images divided into 60,000 training and 10,000 testing samples. Dataset samples consists of 28x28 grayscale image associated with a label from 10 calsses.

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

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

krish1925/ECE-C147

Coursework for the class ECE C147 (Neural Networks and Deep Learning)

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.

estandengrant/Neural_Network_Utilities

Utilities for Neural Network construction and use

HardikKhatri123/IntroToDeepLearningCourseraSolutions

This repository contains the solutions of Coursera course Intro to Deep Learning Solutions

izzudin01/digitrecognizer

This project involves the development of a digit recognition system using a two-layer neural network, specifically designed to classify handwritten digits (0-9). The system was built and trained on the MNIST dataset, which contains 70,000 images of handwritten digits.

matsjfunke/feedforward-neural-networks

Notes & simple python code to aid understanding the workings of neural networks

mikeleo03/Artificial-Neural-Network

Implementation of Artificial Neural Network from Scratch using Python and Jupyter Notebook