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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/pthmhatre/stylescribe-using-generative-adversarial-network

A fashion AI-based model capable of generating images from textual descriptions. The model should take natural language text as input and generate images that visually represent the given text. This text-to-image generation system bridges the gap between textual descriptions and visual content.

deep-neural-networks flask-application generative-adversarial-network generative-ai googlecloudplatform hyperparameter-tuning keras-tensorflow neural-networks nlp os pillow rdp-connection scipy sklearn-metrics spacy-nlp texttoimage tfidf-vectorizer

Last synced: 06 Dec 2024

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/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/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/rsn601kri/quantum_reservoir_modeling

Quantum Reservoir Computing (QRC) algorithm to address credit risk modeling use any quantum software development kit (SDK) or quantum processing unit (QPU).

deep-neural-networks python quantum-computing random-generation reservoir-computing

Last synced: 27 Dec 2024

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/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/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: 15 Nov 2024

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/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/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/d-kleine/deep-learning

Udacity Deep Learning Nanodegree notes and project solutions

deep-learning deep-neural-networks

Last synced: 01 Jan 2025

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/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/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/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/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: 02 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/justanhduc/improved-wgan

A Theano implementation of Improved WGAN

deep-learning deep-neural-networks gan

Last synced: 02 Jan 2025

https://github.com/a-yush/keras-databases

Implemented various deep learning problems of supervised learning using keras with tensorflow as backend .

computer-vision deep-neural-networks keras keras-implementations python3 supervised-machine-learning

Last synced: 26 Dec 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 Nov 2024

https://github.com/gauravcodepro/expression-neural-network

a deep neural expression based classifier demonstrated to fit a unbalanced dataset, expression datasets across the samples

deep-neural-networks deeplearning expression-evaluator machine-learning machine-learning-algorithms neural-network neural-networks

Last synced: 02 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/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/troublete/go-qndnn

quick 'n' dirty neural network (for practical use)

ai deep-neural-networks go machine-learning relu sigmoid tanh

Last synced: 03 Jan 2025

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: 15 Nov 2024

https://github.com/hackintoshrao/blog-posts

Markdown of my blog posts at medium.com/@hackintoshrao and hackintoshrao.com

artificial-intelligence deep-learning deep-neural-networks technical-writing

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: 15 Nov 2024

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/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/donmaruko/sentiment-analysis-api

Flask-based API for sentiment analysis using deep learning models and includes endpoints for text and file input, database storage, and integrated Swagger documentation.

api deep-learning deep-neural-networks flask keras lstm machine-learning neural-network rnn scikit-learn scikitlearn-machine-learning sklearn sqlite3 swagger swagger-ui tensorflow

Last synced: 04 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/es7/the-ai-orchestra

In this repository I have explained about how we can generate music via LSTMs.

deep-neural-networks gru lstm music-generation-deep-learning rnn

Last synced: 11 Jan 2025

https://github.com/ajithvcoder/epai

Contains assignments of EPAi course from The School of AI (https://theschoolof.ai/)

deep-neural-networks python pytorch

Last synced: 12 Jan 2025

https://github.com/shivamgupta92/retinacare_by_team_bigfootisreal

Diabetic Retinopathy Predictor System, a Django-based web app, uses machine learning to assess diabetic retinopathy risk. Input your health data and get results within seconds: Ranging from ['Mild', 'Moderate', 'Severe', 'No_DR']

cnn-keras css3 deep-neural-networks diabetic-retinopathy-detection flask html5 inception-resnet-v2 javascript tensorflow

Last synced: 11 Jan 2025

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: 18 Nov 2024

https://github.com/barbarpotato/deeplearning.ai-tensorflow-developer-professional-certificate

TensorFlow Developer Professional Certificate program teaches you applied machine learning skills with TensorFlow so you can build and train powerful models.

convolutional-neural-networks deep-learning deep-neural-networks natural-language-processing neural-network tensorflow tensorflow2 time-series

Last synced: 11 Jan 2025

https://github.com/frgfm/pytorch-mnist

Implementation of various basic architectures (training on MNIST, Visdom visualization)

computer-vision deep-learning deep-neural-networks lenet mnist python3 pytorch pytorch-cnn visdom

Last synced: 29 Dec 2024

https://github.com/piero24/lossfuncition-4sn

This research will show an innovative method useful in the segmentation of polyps during the screening phases of colonoscopies. To do this we have adopted a new approach which consists in merging the hybrid semantic network (HSNet) architecture model with the Reagion-wise(RW) as a loss function for the backpropagation process.

dataset deep-learning deep-neural-networks loss loss-functions matplotlib neural-network numpy opencv polyp-detection polyp-segmentation python python3 pytorch segmentation segmentation-models torchvision transformers unipd unipd-dei

Last synced: 08 Jan 2025

https://github.com/venkat-a/text_processing_rnn_lstm

Text Processing RNN leverages RNN and LSTM models for advanced text processing. It features deep learning techniques for NLP tasks, utilizing GloVe for word embeddings, aimed at both educational and practical applications.

categorical-encoding deep-neural-networks embedding-vectors lstm-neural-networks model-evaluation-and-tuning nltk-tokenizer numpy-arrays pandas-dataframe pytorch-nlp rnn-encoder-decoder tokenization vocabulary-builder

Last synced: 08 Jan 2025

https://github.com/sloppycoder/coursera_tf_in_practice

Notebook for Coursera Tensorflow in Practices courses

deep-learning deep-neural-networks python tensorflow

Last synced: 11 Jan 2025

https://github.com/atharvapathak/hand_gesture_recognition_case_study

This project involves building a 3D Convolutional Neural Network (CNN) to correctly recognize hand gestures by a user to control a smart TV using 3D-CNN and 2D-CNN + RNN/LSTM/GRU.

cnn deep-neural-networks gesture-recognition machine-learning palm-detection python pytorch resnet tensorflow video-processing

Last synced: 15 Jan 2025