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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/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/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/zakircodearchitect/flight-intent-classifier

This project uses a Bidirectional LSTM model to classify flight-related queries into 8 intents. Trained on the ATIS dataset, it achieved 97% test accuracy and is ideal for travel-related chatbots.

atis-dataset deep-neural-networks intent-classification neural-network

Last synced: 29 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/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/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/lbp2563/glasses-detection-from-human-face-images

This project uses TensorFlow and Keras to develop a deep learning model for detecting glasses on human faces in images. It employs convolutional neural networks (CNNs) to classify images into "with glasses" and "without glasses" categories, offering a versatile tool for applications like facial recognition and virtual try-on experiences.

deep-neural-networks glass-detection keras keras-neural-network neural-network

Last synced: 21 Jan 2025

https://github.com/enheragu/mnist-learning-playground

Just repository with code to play MNIST dataset and different learning models

deep-learning deep-neural-networks mnist mnist-classification python pytorch

Last synced: 29 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/sebukpor/breast-cancer-classification

this model classifies breast cancer as either benign or malignant

deep-learning deep-neural-networks tensorflow tensorflowjs

Last synced: 22 Dec 2024

https://github.com/shashwat9kumar/covid_face_mask_detection

Detecting whether a person in the picture has face mask on or not using a convolutional neural network

cnn covid19 deep-learning deep-neural-networks face-detection mask-detection tensorflow

Last synced: 12 Jan 2025

https://github.com/dansolombrino/biscuits

A set of experiments inspired by the paper "Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs" by Jonathan Frankle, David J. Schwab, Ari S. Morcos

batchnorm cnn cnns convolutional-neural-networks deep-learning deep-neural-networks resnet resnets

Last synced: 14 Dec 2024

https://github.com/dansolombrino/creactive

A set of experiments on Deep Neural Networks activation functions

activation-functions deep-learning deep-neural-networks nonlinear-optimization

Last synced: 14 Dec 2024

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/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/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/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/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/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/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/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/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/valeman/udacity-self-driving-car-traffic-signs-classifier-p2

My project pipeline for the Udacity Self-Driving-Car Nanodegree program's Project 2 - Traffic Sign Classifier

convolutional-neural-networks deep-learning deep-neural-networks machine-vision pyton self-driving-car tensorflow

Last synced: 22 Jan 2025

https://github.com/m0saan/guitardetect

Deep Learning for Guitars 🎸: Guitar Classifier using CNN

cnn cnn-classification deep-neural-networks guitar-classifier

Last synced: 16 Jan 2025

https://github.com/ahammadmejbah/fundamental-concepts-and-architectures-of-neural-network

Neural Networks are a set of algorithms, modeled loosely after the human brain, designed to recognize patterns. They interpret sensory data through a kind of machine perception, labeling, and clustering of raw input.

deep-learning deep-learning-algorithms deep-neural-networks deep-reinforcement-learning

Last synced: 09 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: 16 Jan 2025

https://github.com/rishikesh-jadhav/robot-learning

This repository contains my solutions and code submissions for assignments and projects completed as part of ENPM690 during Spring 2024. Each assignment is organized in its own folder, with accompanying documentation and any necessary resources.

computer-vision deep-learning deep-neural-networks imitation-learning machine-learning reinforcement-learning robotics

Last synced: 22 Jan 2025

https://github.com/apal21/tensorflow-pima-indians-dataset-classification

Pima Indians Dataset classification using Tensorflow Linear Classifier and DNN Classifier.

classification deep-neural-networks kaggle linear-classifier pandas pima-indians-dataset scikit-learn tensorflow

Last synced: 31 Dec 2024

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: 29 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/hayatiyrtgl/lstm_time_seriesv2

The code downloads Microsoft stock data, preprocesses it, builds and trains a deep learning model, and visualizes predictions.

analyzer deep-learning deep-neural-networks forecasting lstm pandas python time-series

Last synced: 22 Dec 2024

https://github.com/pegah-ardehkhani/predictive-maintenance-using-ml

A machine learning project for predictive maintenance, designed to forecast equipment failures and optimize maintenance schedules to reduce downtime and operational costs

adaboost decision-tree deep-learning deep-neural-networks feature-importance knn logistic-regression machine-learning machine-learning-algorithms matplotlib numpy pandas plotly predictive-maintenance random-forest seaborn sklearn stacking svm tensorflow

Last synced: 18 Jan 2025

https://github.com/vutrong826/yolov8-tumor-segmentation

Brain tumor segmentation using YOLO architecture for fast and accurate detection.

deep-learning deep-neural-networks python pytorch segmentation tensorflow tumor-segmentation yolo yolov8 you-only-look-once

Last synced: 23 Jan 2025

https://github.com/ivanrj7j/super-cars-vs-suvs

This is a deep neural network that looks at an images of cars and then classify them as suv and supercars

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

Last synced: 22 Dec 2024

https://github.com/sreecharanv/generating-realistic-and-diverse-textual-movie-reviews-with-imdb-dataset-leveraging-deep-learning

This project uses GPT-2 to generate realistic movie reviews from the IMDb dataset. By preprocessing data and fine-tuning the model, we achieved human-like text quality. The model's reviews were evaluated for coherence and diversity, showcasing GPT-2's potential in automated text generation.

deep-learning deep-neural-networks gpt-2 large-language-models machine-learning movie-reviews natural-language-processing text-generation

Last synced: 30 Nov 2024

https://github.com/vyomshm/tenseemotion

Emotion recognition using deep learning - project at AngelHack Global Hackathon Series : New Delhi. WON the Govtech challenge!!!!

deep-neural-networks hackathon opencv3 tensorflow

Last synced: 29 Nov 2024

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

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

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

Last synced: 07 Dec 2024

https://github.com/gkouros/cs231n-spring2018-assignments

Spring 2018 Assignments for the "Convolutional Neural Networks for Visual Recognition (cs231n)" course from Stanford University

cnn-for-visual-recognition deep-learning deep-neural-networks generative-adversarial-networks lstm-neural-networks recurrent-neural-networks stanford-cs231n

Last synced: 01 Dec 2024

https://github.com/aryanjain28/blog---linear-regression

My first blog explains the concepts of linear regression that are the first steps towards advanced ML/AI.

blog blogs deep-learning deep-learning-blog deep-neural-networks deeplearning linear-regression linear-regression-blog machine-learning machine-learning-blogs ml-blog

Last synced: 01 Dec 2024

https://github.com/aryanjain28/blog---r-cnn-fast-r-cnn-faster-r-cnn

Easy explanation on different object detection approaches like - R-CNN, Fast R-CNN, and Faster R-CNN.

blog blogs deep-learning deep-neural-networks deeplearning fast-r-cnn faster-rcnn machine-learning machine-learning-algorithms r-cnn

Last synced: 01 Dec 2024

https://github.com/ahmad-ali-rafique/batch-card-detection-app

A deep learning-based Streamlit app to detect if a person is wearing a batch card, built with TensorFlow. Includes trained model, app interface, and deployment guide.

ai artificial-intelligence carddetection deep-neural-networks streamlit-dashboard tensorflow

Last synced: 15 Dec 2024

https://github.com/margaretkhendre/nonprofit-funding-vs-deep-learning-challenge

In this repository, Google Colab is paired with neural networks and deep learning to examine data from the nonprofit, Alphabet Soup. This nonprofit desires a tool that can help it select applicants for funding, so a binary classifier will be created to predict whether applicants will be successful if funded by Alphabet Soup.

colab-notebook deep-neural-networks deeplearning jupyter-notebook neural-networks pandas standardscaler tensorflow

Last synced: 09 Jan 2025

https://github.com/raufjatoi/handwritten-character-recognition

Handwritten character recognition system that can recognize various handwritten characters or alphabets. I will extend this to recognize entire words or sentences.

deep-learning deep-neural-networks machine-learning mnist-handwriting-recognition

Last synced: 25 Jan 2025

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

This project is a sentiment analysis model built to classify IMDB movie reviews as either positive or negative using the **IMDB dataset**. It uses various machine learning models and deep learning techniques to handle the text data.

challenge deep-learning deep-neural-networks lstm-neural-networks model-accuracy nlp nlp-datasets nlp-machine-learning polarity-integration proficient rqs score sentiment-analysis sentiment-classification

Last synced: 01 Dec 2024

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: 15 Dec 2024

https://github.com/zara5961/deep-learning-challenge

This project focuses on building and optimizing a deep learning neural network to predict the success of applicants funded by Alphabet Soup Charity.

deep-machine-learning deep-neural-networks python skicit-learn tensorflow

Last synced: 23 Jan 2025

https://github.com/coreyjs/bike-sharing-neural-network

Part of Udacity's deep learning program. This is a simple neural network to predict bike ridership trends.

deep-learning deep-neural-networks machine-learning machinelearning ml neural-network neural-networks python udacity

Last synced: 22 Dec 2024

https://github.com/coreyjs/dog-breed-classifier

A transfer learning neural network to classify dog breeds.

classification deep-learning deep-neural-networks machine-learning ml

Last synced: 22 Dec 2024

https://github.com/stifler7/rl-for-game-ai

Game Artificial Intelligence with Reinforcement Learning This project provides experience in applying techniques of RL to game artificial intelligence. It shall demonstrate several RL algorithms- specifically Q-learning and deep Q-networks (DQN)- to game environments.

deep-learning deep-neural-networks deep-reinforcement-learning machine-learning

Last synced: 01 Dec 2024

https://github.com/gilbertocunha/lip-hepmetalearning

A repository that applies the Meta-SGD algorithm to High Energy Physics in Signal vs Background classification and studies the applicability of such methods.

deep-neural-networks hep metalearning

Last synced: 02 Dec 2024

https://github.com/gilbertocunha/lhc-vlq-classifier

A Deep Learning Neural Network that classifies Vector Like Quarks from background events using generated collider data

deep-neural-networks monte-carlo-dropout particle-physics quarks

Last synced: 02 Dec 2024

https://github.com/kartikchugh/deepneuralnetworks

A Java library for building, training, and testing deep learning neural networks

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

Last synced: 15 Dec 2024

https://github.com/apozzi/convnetjs-extras

Builds on the core functionalities of convnetjs by adding more features and utilities that enhance the capabilities of neural network development and experimentation.

activation-functions convnetjs deep-learning deep-neural-networks loss-functions

Last synced: 29 Nov 2024

https://github.com/kartikchugh/neural-energy

Deep Neural Networks applied to representations of potential energy surfaces

deep-learning deep-neural-networks materials-science potential-energy-surfaces

Last synced: 15 Dec 2024

https://github.com/vidhi1290/cyclegan-implementation-for-image-to-image-translation

🖼️ Our CycleGAN Implementation for Image-to-Image Translation project leverages PyTorch to seamlessly transform images between domains, all without paired examples. With a keen focus on innovation and effectiveness, we've explored CycleGAN's capabilities across various domains. Join us as we delve into the world of image translation technology! 🚀

artificial-intelligence cycle-gan deep-learning deep-neural-networks gan github-config machine-learning numpy pillow python pytorch torchvision unsupervised-learning

Last synced: 08 Dec 2024

https://github.com/blacksujit/deep-learning-specialization-repo

This repo contains the neural networks learning's with tensorflow with all the high level deep learning concepts i am learning with project implementation

deep deep-layers deep-learning deep-neural-networks embeddings-word2vec llvm network-embeddings neural-network transformers-layers transformers-models vision-language-model

Last synced: 15 Dec 2024

https://github.com/ssinad/evolution-strategies-tensorflow

Using evolution strategies as Non-differentiable loss function in a neural network

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

Last synced: 02 Dec 2024

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 554 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-experimental-standards-deep-learning 34 Awesome-Computational-Structural-Biology 40 awesome-ai-cybersecurity 153 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 945 Uncategorized 552 Classification COVID19 (Separate section due to its current significance) 486 Papers & Code 420 Introduction 365 DL4M summary 358 Overview 308 Tutorials 240 Neural Networks (NN) and Deep Neural Networks (DNN) 202 Other useful related lists and resources 201 Research 197 Architecture 129 Deep Learning 113 C/C++ Learning Resources 102 Further Reading 100 Paper: 96 Tools for Robotics 94 Natural Language Processing 89 Reinforcement Learning Learning Resources 86 C/C++ Tools and Frameworks 80