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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/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/faisal-fida/nlp-classification-qna-for-beginners

Natural language processing (NLP) tasks: text classification and text generation. The notebooks explore different techniques and models for handling these tasks, offering insights into common challenges and solutions.

challenges deep-neural-networks nlp-machine-learning text-classification text-generation

Last synced: 08 Jan 2025

https://github.com/rizerkrof/library-simpleneuralnetwork

This is a simple fully connected neural network library for deep learning. Include example.

deep-learning deep-neural-networks library

Last synced: 28 Jan 2025

https://github.com/papapana/sagemaker-sentiment-analysis

Sentiment Analysis with LSTMs deployed in Amazon Sagemaker

aws aws-lambda deep-learning deep-neural-networks lstm sagemaker sentiment-analysis

Last synced: 13 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/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/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/edreate/neural_learn

A Deep Learning library based on Pytorch and PyTorch Lightning which makes Deep Learning even simpler.

deep-learning deep-neural-networks python3 pytorch pytorch-lightning

Last synced: 21 Dec 2024

https://github.com/aishwaryahastak/alzheimer-s-detection

Alzheimer's Detection from Brain MRI scans using DNN

deep-neural-networks healthcare image-classification

Last synced: 02 Jan 2025

https://github.com/anibalalpizar/python-deep-learning-temperature-converter

Celsius to Fahrenheit converter using Python and deep learning.

deep-learning deep-neural-networks python tensorflow

Last synced: 08 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/cseas/image-classifier

Deep Neural Network Classifier to recognise images based on custom training classes.

classify-images deep-learning deep-neural-networks image-classifier python python3 tensorboard tensorflow

Last synced: 27 Dec 2024

https://github.com/anibalalpizar/python-deep-learning-houseprice-prediction

Meters to price predictions using Python and deep learning.

deep-learning deep-neural-networks python tensorflow

Last synced: 08 Jan 2025

https://github.com/parth-shastri/neural_nets_tensorflow

Just a small set of projects from a student who loves to play with Deep-learning!

deep-learning deep-neural-networks learning neural-networks python3 tensorflow-examples tensorflow-tutorials tensorflow2

Last synced: 21 Dec 2024

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/natielle/udemy-tensorflowcompython

Material de estudo do curso: https://www.udemy.com/course/tensorflow-machine-learning-deep-learning-python/learn/lecture/12670278#overview

deep-learning deep-neural-networks deeplearning python tensorflow

Last synced: 21 Jan 2025

https://github.com/hemanthh17/ct5129-thesis-image-dehazing

ClearFlow: An Enhanced Image Dehazing Workflow Using Model Ensembling and CNN Postprocessing. This project is aimed to train a neural network to handle the task of image dehazing.

computer-vision deep-learning deep-neural-networks torch torchvision

Last synced: 21 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/harshuljain13/dogsbreedclassification

Classifying the dogs breed using transfer learning in DeepLearning

deep-learning deep-neural-networks inceptionv3 keras tensorflow transfer-learning

Last synced: 30 Dec 2024

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/suwadith/footy-predictor-football-match-prediction-tensorflow-fastapi-plugin

A Deep-Learning (Tensorflow) based project which can be used to predict weekly EPL match results. Uses FastAPI as the backend to feed the results to a Chrome based plugin which then modifies the SkySports website to convey the predicted outcomes.

api chrome-extension deep-learning deep-neural-networks fastapi football prediction tensorflow

Last synced: 13 Jan 2025

https://github.com/hawmex/deep_learning_content

This repository contains my teaching material as a teaching assistant for the "Artificial Intelligence" course at AUT (Tehran Polytechnic).

convolutional-neural-networks deep-learning deep-neural-networks

Last synced: 29 Dec 2024

https://github.com/utility-code/sprintdl

pytorch wrapper for easier experimentation

deep-learning deep-neural-networks pytorch

Last synced: 21 Jan 2025

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/danhenriquex/data_science_and_machine_learning

A.I, Data Science & Machine Learning and Deep Learning with Tensorflow

deep-learning deep-neural-networks machine-learning matplotlib numpy pandas tensorflow

Last synced: 14 Jan 2025

https://github.com/ztrimus/digit-recognition-from-scratch-neural-network

Avoided use of Built-in Models, function in Pytorch. Used Pytorch API and MNIST Dataset.

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

Last synced: 22 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/redleader962/une-intuition-sur-rudder

Ressources pour la présentation orale: "Une intuition sur RUDDER (Return Decomposition for Delayed Rewards)"

deep-learning deep-neural-networks deep-reinforcement-learning neural-network reward-shaping

Last synced: 24 Dec 2024

https://github.com/loudji971/chatbot-intent-classifier

Chatbot based on natural language processing (NLP) and deep learning for accurate intent classification in conversations. - Artificial Inteligence Tecniques

ai atis-dataset bert chat-bot-deep-learning deep-neural-networks fastapi intent-classification keras nlp nltk nltk-keras-python nlu-engine scikit-learn tridib-samanta

Last synced: 25 Jan 2025

https://github.com/lugq1990/neural-nets

Build deep learning models more efficient based on TensorFlow.

deep-learning deep-neural-networks machine-learning tensorflow

Last synced: 08 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/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/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/mithoon278/deepfake-video-detection-resnext-and-lstm-

This projects aims in detection of video deepfakes using deep learning techniques like RestNext and LSTM. We have achived deepfake detection by using transfer learning where the pretrained RestNext CNN is used to obtain a feature vector, further the LSTM layer is trained using the features.

deep-learning deep-neural-networks deepfake-detection flask-application lstm python resnext-50

Last synced: 27 Jan 2025

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/asaficontact/stack_classifier_project

We classified Stack Overflow Python questions from 2008-2016 with Natural Language Processing and Deep Learning. Using Regular Expressions, we removed HTML tags and punctuation. We also utilized spaCy to tokenize, lemmatize and remove stop words. Using Keras, we built a 4 layered artificial neural network with a 20% dropout rate using relu and softmax activation functions. We also utilized the adam optimizer and categorical cross-entropy loss function which classified 11 tags 88% successfully.

cross-entropy-loss deep-learning deep-neural-networks keras lemmatization neural-networks object-oriented-programming pandas python3 regular-expressions relu sklearn spacy spacy-nlp stackoverflow tfidf tokenization

Last synced: 22 Dec 2024

https://github.com/sadmansakib93/arctic-mammal-classification

Deep learning model for acoustic detection and classification of Bowhead whales. This repo contains code for the binary classification model, two classes are: Bowhead whales (BH), Other/background.

annotations audio-analysis audio-classification classification deep-learning deep-neural-networks machine-learning python spectrogram tensorflow

Last synced: 12 Jan 2025

https://github.com/aaleksandraristic/innovative-skin-cancer-screening-iscs-utilizing-cnn-models

The goal of this project is to employ deep learning models and advanced techniques to identify abnormalities by analyzing images of the skin tissues.

cnn-classification cnn-keras cnn-model convolutional-neural-networks deep-neural-networks densenet googlenet-inception-network image-classification image-processing python resnet

Last synced: 16 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

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/phyulwin/machine-learning-with-python-projects

Projects for Machine Learning with Python freeCodeCamp (Updated Solution in Progress... 🌿)

deep-neural-networks google-colab machine-learning python tensorflow

Last synced: 30 Dec 2024

https://github.com/aaleksandraristic/intelligent-ecg-diagnostic-system-based-on-cnn-models

Implement an intelligent diagnostic system capable of accurately classifying cardiac activity. By analyzing ECG images or electronic readings, the system aims to detect various abnormalities, including distinguishing normal vs. abnormal heartbeats, identifying myocardial infarction (MI) and its history, and assessing the impact of COVID-19.

classification-algorithm cnn-keras cnn-model convolutional-neural-networks deep-learning deep-neural-networks ecg-classification ecg-signal image-classification image-preprocessing machine-learning resnet resnet-50 vgg16 vgg16-model

Last synced: 16 Jan 2025

https://github.com/omerbsezer/basicrnn

The aim of this implementation is to help to learn structure of basic RNN (RNN cell forward, RNN cell backward, etc..)

deep-learning deep-neural-networks rnn tutorial-code

Last synced: 11 Nov 2024

https://github.com/rociobenitez/deeplearning-airbnb-price-prediction

Deep Learning project for Airbnb price prediction, featuring data preprocessing and neural network models in Google Colab.

airbnb-data airbnb-pricing-prediction convolutional-neural-networks deep-learning deep-learning-algorithms deep-neural-networks keras keras-neural-networks keras-tensorflow

Last synced: 23 Jan 2025

https://github.com/ammahmoudi/fluxomic-prediction

Applying implicit deep learning and convex optimization layers to infer metabolic fluxes from gene expression data

bioinformatics deep-neural-networks fluxomics ml optimization transcriptomics

Last synced: 15 Jan 2025

https://github.com/justanhduc/sngan

A Theano implementation of Spectral Normalized GAN

deep-learning deep-neural-networks gan theano

Last synced: 02 Jan 2025

https://github.com/shubhamahobia/ann-classification

The project involves developing a machine learning model to predict customer churn using Artificial Neural Networks (ANN). Customer churn refers to the loss of clients or subscribers. Accurately predicting churn helps businesses implement strategies to retain customers, thereby increasing profitability.

aritificial-intelligence artificial-neural-networks churn-prediction churn-rates classification deep-learning deep-neural-networks machine-learning

Last synced: 27 Dec 2024

https://github.com/pritz69/wine_quality_prediction_ml

Neural Networks and Deep Learning Project ,developing a Machine Learning Model .

artificial-intelligence deep-learning deep-neural-networks machine-learning neural-networks

Last synced: 11 Jan 2025

https://github.com/justanhduc/improved-wgan

A Theano implementation of Improved WGAN

deep-learning deep-neural-networks gan

Last synced: 02 Jan 2025