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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/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: 12 Feb 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/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/arpan132002/fitness-tracker-using-smart-watches

This repository contains the code for a full machine learning project that tracks fitness activities. The project demonstrates the process of building a fitness tracker using Python and machine learning techniques

deep-neural-networks machine-learning outlier-detection

Last synced: 30 Jan 2025

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/saadarazzaq/custom-neural-networks

Perceptron, Multiclass and Deep Neural Network Implemented All in One Repo ✨

deep-neural-networks keras numpy perceptron python scikit-learn tensorflow

Last synced: 23 Jan 2025

https://github.com/kalfasyan/regular_irregular_shapeselectivity

Repository for my paper with title "Shape Selectivity of Middle Superior Temporal Sulcus Body Patch Neurons."

convolutional-neural-networks deep-neural-networks models neuroscience research-paper vision vision-science

Last synced: 17 Jan 2025

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/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/codewithdark-git/melanoma-skin-cancer-cnn

This repository provides a demonstration of a deep learning-based system for detecting melanoma from grayscale images. The model predicts whether an input image is classified as "BENIGN" or "MELANOMA," along with a confidence score. Please note that this application is for educational purposes only and should not be used for real medical diagnosis.

cancer-detection cnn cnn-classification convolutional-neural-networks deep-neural-networks dl llm machine-learning melanoma-detection ml neural-networks nn python python-script torch torchvision

Last synced: 25 Jan 2025

https://github.com/wielkadraka/lunar-landing-q-learing

AI playing Lunar Landing from python gymnasium library

deep-neural-networks deep-q-learning lunar-lander python3

Last synced: 11 Jan 2025

https://github.com/mzguntalan/red

A place for code to relax in happiness without the pressure of maintenance. Mostly related to Machine Learning and Deep Learning

deep-learning deep-neural-networks haiku jax linear-transformer neural-networks optax

Last synced: 01 Feb 2025

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/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/architgargpro/emotiondetector

This Machine Learning project aims to classify the emotion on a person's face into one of four categories, using deep convolutional neural networks.

cnn-keras deep-neural-networks keras-tensorflow machine-learning python

Last synced: 20 Jan 2025

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/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/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/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: 07 Feb 2025

https://github.com/0xdaksh/loanclassifier

A Dead Accurate Deep Learning Algorithm that Can classify if you'll take loan or not.

classifier deep-learning deep-neural-networks keras neural-network python python35

Last synced: 18 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: 11 Feb 2025

https://github.com/mawadamhd/deep-learning-with-keras-and-tensorflow-course

This repository contains materials for Deep Learning with Keras and TensorFlow course. This includes Jupyter notebooks, datasets, assignments, and solutions .

deep-learning deep-neural-networks keras keras-tensorflow tensorflow

Last synced: 02 Feb 2025

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/ammahmoudi/covid-19-autoencoder

Using Autoencoder in keras as a nonlinear dimensionality reduction method to encode COVID-19 patients data

autoencoder covid-19 deep-learning deep-neural-networks dimension-reduction keras-tensorflow machine-learning ml

Last synced: 15 Jan 2025

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/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/data-pioneer/mlops-name-entity-recognition-end-to-end-main

Implementation of MLops pipeline for Named Entity Recognition (NER) using pretrained Huggingface BERT transformer based model, further use CircleCI CI/CD tool for deployment on google cloud platform by using Docker image, Flask front end interface.

artifact-registry bert-fine-tuning circleci deep-neural-networks docker-image flask-application google-cloud huggingface-transformers pythin3

Last synced: 18 Jan 2025

https://github.com/hackintoshrao/tensorflow-income-bracket

Predicting whether the income > 50K based on the information about the individuals.

classification deep-learning deep-neural-networks tensorflow

Last synced: 07 Feb 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/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/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/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/abhaskumarsinha/1d-gan

A simple well-documented tutorial on implementing a 1D GAN on Keras using a Python Jupyter Notebook

deep-learning deep-neural-networks gan generative-adversarial-network keras keras-tensorflow python3 tensorflow2 tutorial

Last synced: 21 Jan 2025

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/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/rahulbhoyar1995/coursera-ml-specialisation-certification

Explore my journey through the Coursera Machine Learning Specialization with this repository. Access practice materials, code implementations, and learning notes to enhance your understanding of machine learning concepts.

deep-learning deep-neural-networks machine-learning machine-learning-algorithms python3 reinforcement-learning-algorithms supervised-learning unsupervised-learning

Last synced: 15 Jan 2025

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/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/sanchariii/cifar-10-object-recognition-using-resnet50

CIFAR-10 dataset has 60,000 32x32 rgb images and those images are recognized using ResNet50 deep learning model with an accuracy of 71%.

colab-notebook deep-neural-networks neural-networks resnet-50

Last synced: 12 Jan 2025

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: 07 Feb 2025

https://github.com/guiferviz/aidictive

Addictive Artificial Intelligence library! SOTA models made easy :)

artificial-intelligence deep-learning deep-neural-networks easy-to-use machine-learning

Last synced: 12 Jan 2025

https://github.com/minitechy/betavae_variants

beta-VAE variants trained using deep neural networks on the dSprites dataset with PyTorch

beta-vae deep-neural-networks disentanglement dsprites mig mutual-information pytorch sap

Last synced: 22 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/sushantdhumak/dog-breed-classifier

Deep Learning Nanodegree Project : Given an image of a dog, the algorithm will identify an estimate of the canine’s breed. If supplied with an image of a human, the code will identify the resembling dog breed.

accuracy bottleneck-features categorical-cross-entropy cnn-architecture convolutional-neural-network deep-neural-networks detect-faces dog-breed dog-breed-classifier keras keras-neural-networks preprocessing resnet-50 rmsprop transfer-learning validation-loss vgg16 xception-model

Last synced: 30 Jan 2025

https://github.com/bottomsnode/plateai-indian-license-plate-detection-master

PlateAI is a state-of-the-art ALPR system employing AI and machine learning to detect and recognize license plates from images or video streams in real-time. It offers robust, efficient, and scalable performance, catering to diverse applications with high accuracy and reliability.

artificial-intelligence-algorithms artificial-neural-networks deep-learning deep-neural-networks image-processing machine-learning

Last synced: 18 Jan 2025

https://github.com/rahulbhoyar1995/ner-case-study

This repositiry contains the code for Case study of "Named-Entity Recognition" in Natural Language Processing.

deep-neural-networks natural-language-processing ner

Last synced: 15 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: 07 Feb 2025

https://github.com/akashash01/convolutional_neural_network

Is a deep neural network, most commonly applied to analyze visual images.

cnn-for-visual-recognition data-science deep-learning deep-neural-networks python

Last synced: 07 Feb 2025

https://github.com/mwanginjuguna/deeplearning-with-fast-ai

Exploring Deep Learning on Kaggle.com. Mainly through the eyes of Practical deep learning for coders with Jeremy Howard on fast.ai

deep-neural-networks fastai ml pytorch

Last synced: 13 Jan 2025

https://github.com/unikraft/lib-dnnl

Unikraft port of Intel Math Kernel Library for DNNs

deep-neural-networks intel library math-library unikernel unikraft

Last synced: 19 Jan 2025

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/jkevin2010/deep-learning-and-early-dementia-detection

Development of new interpretable deep learning frameworks for the early detection of Alzheimer's Disease and Related Dementias (ADRD)

alzheimer-disease-prediction chaos-theory deep-neural-networks dementia-detection

Last synced: 08 Feb 2025

https://github.com/ravisha-144/dl_practice

This repository follows the tutorials of the DL1 course at the UvA

deep-learning deep-neural-networks jax pytorch tensorflow

Last synced: 22 Jan 2025

https://github.com/satya04m/recommender-system

The Recommender-System project is a machine learning-based application designed to predict user preferences and provide personalized recommendations. It leverages various algorithms, such as collaborative filtering and content-based filtering, to analyze user data and suggest relevant items. The project also includes a CI/CD pipeline for automating

deep-learning deep-neural-networks mse neural-network python recommendation-system rmse-score

Last synced: 22 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/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

Deep neural networks Awesome Lists
awesome-deep-learning-papers 238 Machine-Learning-Tutorials 484 awesome-deep-learning-music 248 Awesome-Learning-with-Label-Noise 276 awesome-deep-trading 94 awesome-colab-notebooks 556 awesome-transformers-in-medical-imaging 202 awesome-emdl 147 Awesome-Speech-Enhancement 105 awesome-multi-task-learning 229 Awesome-3D-Object-Detection 169 awesome-full-stack-machine-learning-courses 106 Awesome-Distributed-Deep-Learning 44 Awesome-Information-Bottleneck 201 awesome-gans-and-deepfakes 61 awesome-video-object-detection 41 awesome-deep-neuroevolution 200 awesome-deep-reinforcement-learning 257 awesome-deepneuroimage 73 awesome-ai-cancer 193 Best-Audio-Classification-Resources-with-Deep-learning 259 awesome-tensorial-neural-networks 99 awesome-graph-research-iclr2024 34 awesome-speech-emotion-recognition 119 awesome-ai-brain-computer-interface 111 LiDAR-Guide 176 awesome-deepnote 41 CoreML-Guide 333 awesome-ai-cybersecurity 153 Awesome-Computational-Structural-Biology 40 awesome-experimental-standards-deep-learning 34 PyTorch-Guide 616 Awesome-Cloud-Edge-AI 58 Deep-Learning 38 awesome-approximate-dnn 78 awesome-deep-learning-materials 69 awesome-data-science 93 TensorFlow-Guide 819 awesome-optimizers 46 awesome-ai 107
Deep neural networks Categories
Papers 944 Uncategorized 551 Classification COVID19 (Separate section due to its current significance) 510 Papers & Code 423 Introduction 371 DL4M summary 358 Overview 324 Tutorials 235 Neural Networks (NN) and Deep Neural Networks (DNN) 201 Other useful related lists and resources 200 Research 199 Architecture 129 Deep Learning 113 C/C++ Learning Resources 102 Paper: 97 Tools for Robotics 94 Further Reading 91 Natural Language Processing 89 Reinforcement Learning Learning Resources 86 Using AI for Pentesting 84