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Deep neural networks

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing.

https://github.com/heet9022/ye-kiski-tasweer-hai

A platform for training, labeling and retraining image classification models.

deep-neural-networks image-classification platform resnet

Last synced: 06 Feb 2025

https://github.com/debasish-dutta/handwritten-digit-classifier

A web-app based on a handwritten digit recognizer TF model and its neural network created from scratch and is deployed using a web-app with tensorflow.js

deep-neural-networks tensorboard-mnist-digit tensorflow2

Last synced: 19 Jan 2025

https://github.com/tushard702/sentiment-analysis

Sentiment analysis is the automated process of understanding an opinion about a given subject from written or spoken language. Implemented using RNN

deep-neural-networks machine-learning python

Last synced: 01 Jan 2025

https://github.com/ashraf-khabar/bank-marketing-data-analysis

This project is focused on analyzing bank marketing data using PyTorch, pandas, numpy, and scikit-learn. The goal is to build a predictive model that can help identify potential customers who are more likely to subscribe to a bank's term deposit.

data-cleaning data-science data-visualization dataset deep-learning deep-neural-networks feedforward-neural-network learning neural-networks numpy pandas python pytorch sklearn

Last synced: 21 Jan 2025

https://github.com/akashash01/artificial_neural_network

It is an network of neurons that make up a human brain, so that machine can able to learn things and make decision like humans. This deep learning model is more flexible for regression and classification problems(linear & non-linear), susceptible to overfitting.

data-science datavisualization deep-learning deep-neural-networks python

Last synced: 14 Dec 2024

https://github.com/malolm/educationnal-neural-network-framework

Python implementation of an artificial neural network aimed at deeply mastering the underlying concepts that drive neural networks. This project is inspired by Andrej Karpathy and Russ Salakhutdinov.

deep-neural-networks mnist-classification python3

Last synced: 13 Dec 2024

https://github.com/aravinda-1402/diabetes-prediction-using-machine-learning

To predict whether a person has diabetes or not depending on the parameters given using the 'PIMA Diabetes' dataset

data-science deep-neural-networks machine-learning-algorithms

Last synced: 19 Jan 2025

https://github.com/maosong2022/tinyneuralnetwork

A simply C++ implemented neural networks

cpp cpp17 deep-learning deep-neural-networks

Last synced: 22 Jan 2025

https://github.com/saikat-roy/deep-convolutional-gan

DCGAN implemented as part of the Deep Learning for Computer Vision course at the University of Bonn (WS 2018/19)

dcgan deep-learning deep-neural-networks generative-adversarial-network

Last synced: 23 Dec 2024

https://github.com/inviii/ava

AVA is an AI/ML-based open-source program designed for fully autonomous Cars and Drones. AVA stands for AUTONOMOUS VEHICLE & AVIATION

ava aviation computer-vision convolutional-neural-networks deep-neural-networks lane-finding machine-learning self-driving-car tensorflow traffic-sign-classification vehicle-detection

Last synced: 19 Jan 2025

https://github.com/chaitanyak77/optimal-detection-of-diabetic-retinopathy-severity-using-attention-based-cnn-and-vision-transformers

This repository contains the implementation of a hybrid model combining Attention-Based Convolutional Neural Networks (CNNs) and Vision Transformers (ViT) to classify the severity levels of diabetic retinopathy.

cnn-classification deep-neural-networks diabetic-retinopathy-detection image-processing transformers vision-transformer

Last synced: 16 Jan 2025

https://github.com/dhrupad17/understanding-deep-learning-through-projects

This repository encapsulates a hands-on approach to mastering the intricate concepts of deep learning. Through practical engagement with real-world projects, learners immerse themselves in the nuances of neural networks, optimization techniques, and model architectures. This methodology fosters a profound comprehensio

artificial-neural-networks convolutional-neural-networks deep-learning deep-neural-networks lstm-neural-networks project-repository recurrent-neural-networks

Last synced: 16 Jan 2025

https://github.com/rssr25/machine-learning

All the machine learning stuff that I do will be here. Mainly python programs.

andrew-ng-course coursera deep-learning deep-neural-networks deeplearning-ai machine-learning neural-network resnet yolo

Last synced: 24 Dec 2024

https://github.com/sonu275981/social_network_ads

Artificial neural networks Model for predicting the key audiences to show ads in a social network.

ads artificial-neural-networks deep-neural-networks python3

Last synced: 24 Dec 2024

https://github.com/sonu275981/handwritten-digit-recognition-mnist

This is a machine learning model that classifies digits from 0-9 from handwritten digits.

deep-neural-networks keras mnist-classification mnist-handwriting-recognition opencv python tensorflow

Last synced: 24 Dec 2024

https://github.com/sonu275981/movie-recommender-system

Movie-Recommender-System hosted on https://movies275.herokuapp.com/ also on https://share.streamlit.io/sonu275981/movie-recommender-system/main/app.py

content-based-recommendation cosine-similarity deep-neural-networks movie-recommendation nlp-machine-learning recommender-system sentiments-analysis tensorflow tmdb-api vectorization

Last synced: 24 Dec 2024

https://github.com/sonu275981/face-mask-detector

Face Mask Detection system based on computer vision and deep learning using OpenCV and TensorFlow/Keras

cnn-keras computer-vision convolutional-neural-networks covid-19 deep-learning deep-neural-networks face-mask-detection face-mask-detector opencv python

Last synced: 24 Dec 2024

https://github.com/sonu275981/diabetes_by-using-keras-hyperparameter

A simple neural network using Keras-hyperparameter and Python to solve a binary classification problem to detect an onset of diabetes.

deep-neural-networks diabetes-prediction hyperparameter-tuning keras-tensorflow pyhton3

Last synced: 24 Dec 2024

https://github.com/nass59/dlnd_face_generation

Face generation using generative adversarial networks to generate new images

celeba cnns deep-learning deep-neural-networks face-generation gpu mnist python tensorflow udacity-deep-learning udacity-nanodegree

Last synced: 18 Dec 2024

https://github.com/denpalrius/football_analysis

Football match analysis using YOLO v8 and OpenCV

ai cnn computer-vision deep-neural-networks ml opencv yolo

Last synced: 10 Jan 2025

https://github.com/motykatomasz/deepimageprior

Project reproducing part of "Deep Image Prior" paper, conducted for Deep Learning course (CS4240) at TU Delft.

cnn deep-learning deep-neural-networks pytorch

Last synced: 15 Dec 2024

https://github.com/bilalhameed248/nlp-fake-news-classification

Fake News Classification using Naive Bayes, Passive-Aggressive (PA) Classifier and Artificia Neural Network (ANN)

artificial-neural-networks deep-learning deep-neural-networks embeddings machine-learning naive-bayes-classifier nlp nlp-basic passive-aggressive-classifier

Last synced: 16 Jan 2025

https://github.com/loaiabdalslam/s5nn.js

Neural Network Visualization Library Using Graph Rendering ( Sigma.js )

deep-learning deep-neural-networks machine-learning visualization

Last synced: 24 Dec 2024

https://github.com/alyssonmach/deploy-to-heroku-app

An interactive application to ... identify 🐱 in images (neural network of l-layers).

classification-model deep-neural-networks heroku-deployment python streamlit

Last synced: 24 Dec 2024

https://github.com/ggiuffre/machine-lambda

Purely functional implementation of SGD on feed-forward neural nets

deep-neural-networks functional-programming haskell-library neural-network stochastic-gradient-descent

Last synced: 19 Jan 2025

https://github.com/qasimwani/dqn-openai

Using DQN (Deep Q Network) to develop a DRL (Deep Reinforcement Learning) agent to solve LunarLander environment in OpenAI gym.

deep-neural-networks dqn keras-tensorflow openai-gym reinforcement-learning

Last synced: 27 Dec 2024

https://github.com/t-mohamed-shafeek/vgg16-for-malware-classification

This is a Research project which introduces an AI approach which is Deep Neural Networks in this case, to detect and classify different malwares belonging to various families represented as images.

classification cnn deep-learning deep-neural-networks fine-tuning hyperparameter-tuning malware-research supervised-learning transfer-learning vgg16

Last synced: 14 Dec 2024

https://github.com/sensorsini/pycaffejaer

A collection of utilities useful to debug deep-networks trained with Caffe Deep Learning Framework. This utilities can also be used to convert caffe networks into jAER xml format

deep-learning deep-neural-networks machine-vision sensors

Last synced: 21 Jan 2025

https://github.com/perpendicularai/imageclassification

A deep-learning notebook to detect real or fake faces. Now comes with it's own PyPI module.

convolutional-neural-networks deep-learning deep-neural-networks image-classification

Last synced: 23 Jan 2025

https://github.com/amdjadouxx/chifoumiai

A model which take an image of a hand making a sign (paper, scissor, rock) and detect which sign it is, improvement to come

artificial-neural-networks cnn-classification deep-neural-networks ia python3 tensorflow-tutorials

Last synced: 10 Oct 2024

https://github.com/qile0317/bacteria-classifier-cnn

A resnet50 bacterial genus/strain classifier from the dibas dataset.

bacteria-classification cnn deep-learning deep-neural-networks fastai image-classification

Last synced: 19 Jan 2025

https://github.com/gyselle-marques/neural-network-mnist

Implementação em Python de uma rede neural de Deep Learning para reconhecimento de dígitos.

deep-learning deep-neural-networks machine-learning neural-network portuguese-brazilian python

Last synced: 13 Jan 2025

https://github.com/lnsp/ml-notebooks

A collection of machine learning notebooks created for learning purposes.

deep-learning deep-neural-networks machine-learning machine-learning-algorithms reinforcement-learning sklearn tensorflow

Last synced: 19 Dec 2024

https://github.com/justanhduc/sngan

A Theano implementation of Spectral Normalized GAN

deep-learning deep-neural-networks gan theano

Last synced: 04 Feb 2025

https://github.com/volf52/deep-neural-net

A simple deep neural net class written to work with Numpy and Cupy

binarized-neural-networks binary-neural-networks bnn cupy deep-learning deep-neural-networks mnist numpy python python3

Last synced: 01 Feb 2025

https://github.com/piero24/vanillanet-cpp

A fully connected Neural Network in C++ with SGD from scratch, achieving 98% accuracy on the MNIST dataset.

backpropagation cmake cpp deep-learning deep-neural-networks loss-functions neural-network neural-networks-from-scratch opencv softmax

Last synced: 19 Dec 2024

https://github.com/angrybayblade/nnviz

📊 NNViz is interactive visualization tool for Tensorflow made neural networks.

artificial-intelligence artificial-neural-networks deep-neural-networks interpretable-machine-learning tensorflow visualization-tools

Last synced: 16 Dec 2024

https://github.com/shivamgupta92/sih1477_project_smartindiahackathon

Deploying human soldiers in hazardous environments comes with significant risks, including injuries, fatalities, and potential loss of critical military intelligence due to human errors.

deep-neural-networks figma fusion-360 html-css-javascript lidar raspberry-pi

Last synced: 11 Jan 2025

https://github.com/jotstolu/training-machine-learning-models-for-weed-classification

This project involves training different machine learning-based classifiers using image processing techniques to accurately classify two weed classes: charlock and cleavers.This Image classification task focuses on Four Main things: 1)Image Preparation and Pre-processing 2)Feature Extraction 3)Model Training 4)Model Evaluation and Analysis

deep-learning deep-neural-networks image-classification image-processing machine-learning

Last synced: 26 Jan 2025

https://github.com/albertopirillo/anndl-challenges-2023

Collection of two projects applying Deep Neural Networks on real-world problems. The first one with CNNs for image recognition and the other with RNNs and 1D-CNNs for timeseries forecasting.

deep-neural-networks image-recognition timeseries-forecasting

Last synced: 01 Jan 2025

https://github.com/amdjadouxx/chatbotai

implementing a chatbot with tensorflow in python

deep-learning deep-neural-networks ia natural-language-processing python3

Last synced: 23 Jan 2025

https://github.com/zaquyn/tensorflow-developer-certificate-bootcamp

These notebooks contain many foundations in TensorFlow from to fundamental to NLP, Computer Vision and Time series

artificial-intelligence deep-learning deep-neural-networks tensorflow tensorflow-tutorials tensorflow2

Last synced: 21 Dec 2024

https://github.com/mohammad95labbaf/lung-segmentation

The preparation for the Lung X-Ray Mask Segmentation project included the use of augmentation methods like flipping to improve the dataset, along with measures to ensure data uniformity and quality. The model architecture was explored with two types of ResNets: the traditional CNN layers and Depthwise Separable.

chest-xray-images chest-xrays cnn cnn-keras convolutional-neural-networks deep-learning deep-neural-networks deeplearning depthwise-separable-convolutions depthwiseseparableconvolution lung-disease lung-segmentation segment segmentation x-ray-images

Last synced: 13 Jan 2025

https://github.com/himudigonda/digits-recognition

This project uses ML and keras modules to recognise digits from the given dataset.

deep-learning deep-neural-networks digit-recognizer jupyter-notebook keras tensorflow

Last synced: 15 Nov 2024

https://github.com/ahmad-ali-rafique/yolo-helmet-detection-app

This project implements a helmet detection system using YOLOv3 (You Only Look Once) and Streamlit. The application allows users to upload an image and detect helmets in real-time. The system uses OpenCV and pre-trained YOLOv3 weights to identify helmets in uploaded images, displaying the results with bounding boxes and confidence scores.

artificial-intelligence datascience deep-neural-networks helmet-detection image-processing machine-learning modeling opencv streamlit-dashboard yolov3

Last synced: 16 Jan 2025

https://github.com/techshot25/fashion-mnist-dnn

Testing the construction of deep neural nets (DNNs) on fashion MNIST dataset.

classification deep-neural-networks machine-learning-algorithms neural-network tensorflow tensorflow-experiments

Last synced: 21 Dec 2024

https://github.com/prpriesler/covid19-insights-and-analytics

This project delves into the realm of data analytics and programming, focusing on four pivotal datasets related to the COVID-19 pandemic: confirmed global, death global, vaccination & population data, and Twitter data.

covid19 covid19-data data data-science dataanalytics deep-neural-networks machine-learning natural-language-processing

Last synced: 28 Dec 2024

https://github.com/rakibhhridoy/neuralstyletransfer-tensorflow

One of the curious outcome of data science revolution is neural style transfer where nst algorithm merge two images, content and style, creating a artistic image of content image. Here TensorFlow is used to process images and lastly used nst algorithm.

deep-learning deep-neural-networks machine-learning neural-style-transfer neuralstyletransfer nst python tensorflow

Last synced: 25 Dec 2024

https://github.com/parrondo/tutorial-lstm

Tutorial-LSTM: Project for testing LSTM time series forecasting. See notebooks for complete information

deep-learning deep-learning-tutorial deep-neural-networks lstm lstm-networks lstm-neural-network

Last synced: 01 Jan 2025

https://github.com/yash-rewalia/emotion_detection_cnn_deep_learning

This project focuses on emotion detection using Convolutional Neural Networks (CNN), implementing and comparing four models: a custom CNN, a custom CNN with data augmentation, VGG16, and ResNet50v2 for accurate emotion recognition from images.

deep-learning deep-neural-networks emotion-detection keras machine-learning python tensorflow

Last synced: 21 Dec 2024

https://github.com/alex-lechner/carnd-behavioralcloning-p3

Driving a car around a track in Udacity's car simulator only with image data and neural networks. Project 3 of Udacity's Self-Driving Car Engineer Nanodegree Program.

autonomous-vehicles behavioral-cloning convolutional-neural-networks deep-learning deep-neural-networks keras keras-neural-networks self-driving-car udacity-self-driving-car

Last synced: 22 Jan 2025

https://github.com/alex-lechner/carnd-semanticsegmentation-p12

An approach for pixel-based classification of drivable parts of the road (known as Semantic Segmentation). Project 12 of Udacity's Self-Driving Car Engineer Nanodegree Program.

autonomous-vehicles deep-learning deep-neural-networks deeplearning fully-convolutional-networks self-driving-car semantic-segmentation tensorflow

Last synced: 22 Jan 2025

https://github.com/hivana98/datascience-binaracademy

Data Analysis, Data Science, Machine & Deep Learning

data-science deep-learning deep-neural-networks machine-learning

Last synced: 17 Jan 2025

https://github.com/guoquan/dlexp

Scaffold codes for feedforward neural network and autoencoders.

deep-learning deep-neural-networks matlab

Last synced: 02 Jan 2025

https://github.com/guoquan/dlexp2

A framework for more flexible structure of neural networks with auto-differentiation.

auto-differentiation deep-learning deep-neural-networks matlab

Last synced: 02 Jan 2025

https://github.com/winter000boy/music-recommendation

This project implements a content-based recommendation system that analyzes song lyrics to find similar songs. It uses TF-IDF vectorization and cosine similarity to measure the semantic similarity between songs.

artificial-intelligence deep-neural-networks flask-application machine-learning neural-network python3 reinforcement-learning

Last synced: 26 Dec 2024