dr-mushtaq/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)

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AM-Ankitgit/Complete-Deep-Learning-Algorithms

deep-learning machine-learning

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olivia-ai/the-math-behind-a-neural-network

Mathematics paper recapitulating the calculus behind a neural network and its back propagation

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sandialabs/pytuq

Python Toolkit for Uncertainty Quantification

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JaewonSon37/Neural_Networks_and_Deep_Learning1

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yonteels/Number-Detection

This is a custom-built neural network that detects handwritten numbers from image inputs. It uses ReLU activation in the hidden layers and a softmax activation function in the output layer for classification. The model is trained using backpropagation with a loss function to minimize prediction errors, achieving over 99% accuracy when predicting di

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micahondiwa/ml_dl-in-finance

A series of machine learning and deep learning projects in finance.

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Akramz/grokking-deep-learning-notebooks

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

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Adolphus8/Computing-with-Confidence

The role of the repository is to provide a platform to present the codes which serve as a tutorial for those who are interested in learning and implementing the proposed methods to compute with confidence for the reliability analysis of engineering systems.

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Rex-8/MNIST-4-layer

Implementing a 4 layer neural to identify digits from a 28x28 grid using just python and numpy

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MohammedSaqibMS/Convolution_model_Application

CNN TensorFlow image classification deep learning forward propagation cost optimization model training dataset preprocessing

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MohammedSaqibMS/Introduction-to-TensorFlow

This repository implements a basic neural network in TensorFlow, covering forward propagation, cost computation, and model training. It is inspired by the Deep Learning Specialization from DeepLearning.AI and provides a hands-on approach to deep learning. 🌟

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MohammedSaqibMS/Building-your-Deep-Neural-Network

This repository guides you in building deep neural networks from scratch using Python and NumPy, covering key concepts like forward propagation and cost functions for binary classification.

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MohammedSaqibMS/Gradient-Checking

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.

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ejdecena/Redes-Neuronales

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

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matsjfunke/feedforward-neural-network-from-scratch

Fully Connected Neural Network (FCNN) from scratch in python & Notes to aid understanding the workings of neural networks

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amatov/PowerLineCommunication

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4s4v1n/MLP

Neural network for letter recognition

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LeeSinLiang/Neural-Network-Manim

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

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DenisEfremov71/ANN_ForwardPropagation

Jupyter Notebook that builds a Neural Network from scratch

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zohaibterminator/machine-learning-specialization

Github repo for ML Specialization course on Coursera. Contains notes and practice python notebooks.

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dhwabqryh/Data-Mining-I

Tugas praktikum Data Mining I

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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.

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muhammadshaffay/Text-Clipper

A tool that quickly and accurately segments Urdu sentences and words in your text.

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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.

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Eruimdas/Basics-of-Computational-Graph

A simple mimicking of TensorFlow, which including forward and backward propogation.

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krish1925/ECE-C147

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

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jhson989/analyse-cudnn-conv-fwd-algo

cuDNN Convolution Forward Algorithm 분석

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TheUnsolvedDev/cs6910_assignment1

Assignment 1

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estandengrant/Neural_Network_Utilities

Utilities for Neural Network construction and use

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Amber0914/NN_without_libraries

It's a demonstration for implementing NN without using any deep learning library.

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Tanjim131/CSE-474-Pattern-Recognition-Sessional

This repository contains the course assignments of CSE 474 (Pattern Recognition) taken between February 2020 to December 2020 at Bangladesh University of Engineering and Technology (BUET).

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bhavaniprasad73/Artificial-Neural-Network

Artificial Neural Network - Wisconsin Breast Cancer Detection

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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

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DevSingh1101/Neural-Net

Neural Network made by using numpy

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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.

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Apoorv070/Deep_learning_Basics

Learning about Perceptron and Multi layered perceptron

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Meet0067/BreastCancerDetection

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alessiopittiglio/image-processing-transmission

Exercises done during the Image Processing and Transmission course

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

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

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chiapeilin/Neural-Network

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

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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

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slothengineer/DeepLearning-Concepts

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AusBoone/Neural-Network-C

This repository contains code to create, train, and predict using a neural network with a single hidden layer. This includes a complete implementation of a simple feedforward neural network and functions for initialization, forward propagation, backpropagation, training, and prediction.

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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

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rohitashwachaks/AndrewNG

Programming exercises for the Machine learning course offered by Coursera and Andrew Ng

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Arya920/Different-ML-Models

Please feel free to explore the projects, review the code, and provide any feedback or suggestions. I am open to collaboration and eager to learn from the broader data science and machine learning community. Let's connect and learn together!

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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.

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SindorimBear/Forward_Prop

Code describing the Forward Propagation

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mahammadodj/Neural_Network_from_scratch

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xahid007/Neural-Netowork

In this repo, I tried to upload basic components of Neural Network. It will eventually help to understand the core ideas of NN.

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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.

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grvnair/rnn-using-numpy

Built a simple RNN Model using NumPy

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MBadriNarayanan/DeepLearningSpecializationCoursera 📦

Deep Learning Specialization (5 Courses) . Course offered by deeplearning.ai and Coursera. Taught by Andrew Ng.

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yashsriram/spnn

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

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navjindervirdee/neural-networks

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

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khritish17/GARGi-Network

A simple perceptron based artificial neural network using python and numpy package only.

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mohadeseh-ghafoori/develop-DNNs

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mohadeseh-ghafoori/cat-detection-with-Logistic-Regression

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mohadeseh-ghafoori/NNs-with-one-hidden-layer

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mohadeseh-ghafoori/Recurrent-Neural-Networks-with-LSTM

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ajaybiswas22/Neural-Network-Logic-Gates

This repository provides the Implementation of logic gates using neural networks.

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CICIFLY/Deep-Learning-Projects

CNN, ANN, Python, Matlab

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janivkk/neural-network

Artificial Intelligence - Assessment 1

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tocram1/ReseauxNeuronesR

Language: R - Size: 74.2 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

elftausend/forward

A feed-forward-only neural network library, planned for embedded devices

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SoniSiddharth/ML-Logistic-regression-Neural-Networks-from-scratch

Logistic Regression and Neural Networks implementation from scratch

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CS-Ponkoj/Cat-Recognition-Logistic_Regression_with_a_Neural_Network_mindset

This is a project to recognize cat using logistic regression with Neural Network concepts of backward and forward propagation from DeepLearning.AI.

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NeckersBOX/n3lib

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

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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

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shamo0/Machine_Learning_Coursera

Solutions for the Coursera Machine Learning Course (Andrew Ng).

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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.

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hasanur-rahman/AI-Scratch-Projects

I have implemented some AI projects from scratch implementation without explicit use of the built-in-libraries and thus added to this repo.

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ashish230897/Deep-Neural-Networks-From-Scratch

Designing Your Own Deep Neural Network

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Batserine/Backprop_MNIST

Simple neural network built with numpy to see classification metrics.

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antonio-f/Building_your_Deep_Neural_Network_Step_by_Step

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lmbarr/cnn_mnist

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

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DunittMonagas/Neural-Networks-and-Deep-Learning

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

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