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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/himanshuvnm/generalized-gaussian-radial-basis-function-in-artificial-intelligence-matlab

This is the recent work of my on the importance and application of mathematical function around its Hilbert function theory on artificial intelligence algorithms. The main motivation was the desire of improving the convergence rate and learning rate of various learning algorithms via Generalized Gaussian Radial Basis Function.

activation-functions artificial-intelligence deep-learning deep-neural-networks gaussian-process-regression image-recognition kernel-regression machine-learning-algorithms neural-network reproducing-kernel-hilbert-space support-vector-machine

Last synced: 25 Dec 2024

https://github.com/daelsepara/deeplearningcpp

C++ Implementation of Machine Learning Toolbox (deep neural networks and convolutional neural networks)

convolutional-neural-networks deep-neural-networks machine-learning-toolbox

Last synced: 29 Dec 2024

https://github.com/neerajcodes888/cat-vs-dog-image-classification

Repository for a deep learning model that classifies images as either cats or dogs using deep learning techniques. The model is trained on a diverse dataset and achieves high accuracy in distinguishing between these two popular pet categories. Includes pre-processing scripts, model architecture, and evaluation metrics for seamless implementation

cats-vs-dogs cats-vs-dogs-classification deep-learning deep-neural-networks googlecolaboratory imageclassification python3

Last synced: 31 Jan 2025

https://github.com/vpanjeta/self-driving-car

A Program for the implementation of Udacity's nano degree on self driving cars

cnn cnn-keras computer-vision deep-learning deep-neural-networks self-driving-car udacity

Last synced: 28 Dec 2024

https://github.com/kevin-patyk/tensorflow-developer-course

This is the repository containing scripts and materials from the course TensorFlow Developer Certificate in 2023: Zero to Mastery on Udemy.

classification convolutional-neural-networks deep-learning deep-neural-networks machine-learning neural-network numpy pandas python recurrent-neural-networks regression tensorflow transfer-learning

Last synced: 06 Feb 2025

https://github.com/sergio11/breast_cancer_diagnosis_mlp

πŸ©ΊπŸ”¬ MLP-based Breast Cancer Diagnosis: Predicts tumor malignancy from image features, aiding in early detection. πŸ“ŠπŸ€–

deep-learning deep-neural-networks machine-learning mlp-classifier mlp-networks numpy sklearn sklearn-classify

Last synced: 07 Feb 2025

https://github.com/tinh2044/plantdisease_classification

Transfer learning efficientNet to classification disease on plants. Build web application with React and FastAPI

computer-vision convolutional-neural-networks deeeepio deep-learning deep-neural-networks efficientnet plant-disease-detection

Last synced: 07 Feb 2025

https://github.com/rambodrahmani/deep-learning

Final project for the Computational Intelligence and Deep Learning course at University of Pisa.

convolutional-neural-networks deep-learning deep-neural-networks keras keras-neural-networks keras-tensorflow point-cloud pointcloud pointclouds tensorflow2

Last synced: 29 Dec 2024

https://github.com/rani-sikdar/tensorflow-learning

A comprehensive repository for learning TensorFlow, featuring code examples, projects, and resources. Covers concepts from beginner to advanced, including neural networks, CNNs, RNNs, NLP, and deployment. Ideal for students, developers, and AI enthusiasts.

artificial-neural-networks convolutional-neural-networks deep-learning deep-neural-networks keras-tensorflow machine-learning recurrent-neural-networks tensorflow tensorflow-models

Last synced: 25 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/suryanarayanaa/quantgrad

A Small(Quant) Auto Grad Library with visualization of individual operations within Neurons

autodifferentiation autograd autograder deep-learning deep-neural-networks visualization

Last synced: 12 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/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/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/lim-calculus/deep-learning-based-semantic-segmentation-with-pytorch-and-onnx

Deep learning-based semantic segmentation model using the PyTorch and ONNX framework

ai deep-learning deep-neural-networks onnx onnxruntime pytorch semantic-segmentation

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/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: 27 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/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/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/jofaval/mnist

Computer Vision with Neural Networks for handwritten digits recognition in 1998

classification computer-vision data-science deep-learning deep-neural-networks google-colab keras matplotlib pyspark python pytorch seaborn spark tensorflow

Last synced: 04 Feb 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

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/cooldragon12/solana-forecasting-using-lstm

A time series forecasting analysis using LSTM for the Solana Price

deep-neural-networks lstm lstm-model machine-learning

Last synced: 07 Jan 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/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/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/privatepeople/machinelearning-deeplearning

λ¨Έμ‹ λŸ¬λ‹κ³Ό λ”₯λŸ¬λ‹ 곡뢀λ₯Ό μœ„ν•œ μ €μž₯μ†Œ

deep-learning deep-neural-networks deeplearning dl machine-learning machinelearning ml numpy pandas python scipy tensorflow

Last synced: 15 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/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/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/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/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/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/krishna-smapca/neural-network-using-pytorch

This repo contains the implemention of few neural network on Fashion Mnist Dataset, designed for Multi-Class classification

ai ann artificial-intelligence classification deep-neural-networks machine-learning neural-networks python3 pytorch pytorch-implementation

Last synced: 11 Feb 2025

https://github.com/namratagulati/textingwithcnn

This project focuses on the training and evaluation of a TextCNN model for text classification. The model architecture includes an embedding layer, convolutional layers with max-pooling, dropout for regularization, and a softmax layer for classification

convolutional-neural-network convolutional-neural-networks deep-learning deep-neural-networks deeplearning

Last synced: 08 Jan 2025

https://github.com/gosuto-inzasheru/aml-densenet-varying-learning-rates

Re-training the deep neural network DenseNet using various learning rate strategies. Entry for the Food Recognition Challenge for the Master's course Applied Machine Learning.

cyclical-learning-rate deep-neural-networks densenet image-classification learning-rate-benchmarking learning-rate-decay

Last synced: 14 Jan 2025

https://github.com/donggeunyu/deep-learning-examples

Deep Learning의 μ—¬λŸ¬ 예제λ₯Ό μ •λ¦¬ν•œ 것!

deep-learning deep-learning-tutorial deep-neural-networks deeplearning python

Last synced: 16 Jan 2025

https://github.com/kaocc/nerf_2d

Experiments of 2D NeRF (Neural Radiance Fields)

deep-neural-networks nerf

Last synced: 14 Jan 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/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/giuleo129/deepfake_detection

A collection of projects exploring DeepFake detection using pretrained neural networks with fine-tuning and SVM classification on Fourier-transformed features.

deep-learning deep-neural-networks deepfake deepfake-detection feature-extraction fourier-transform gan jupyter-notebook pretrained-models python pytorch svm-classifier

Last synced: 11 Feb 2025

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/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/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/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/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/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/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/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/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/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/abhinavbammidi1401/deeplearning

This repository contains a collection of deep learning models and tools for various tasks such as image classification and generative modeling. Built with popular frameworks like TensorFlow, Keras and PyTorch, it includes code examples, pre-trained models, and detailed documentation to help you get started with deep learning.

deep-learning deep-neural-networks image-classification yolov5

Last synced: 21 Jan 2025

https://github.com/onome-joseph/nlp_cnn_classification

This project implements accurate tags or specifications to problems, or user complaints based on input text. The model is designed using neural networks to process data quickly and deliver high-performance results.

cnn-classification data-science deep-neural-networks multi-class-classification natural-language-processing

Last synced: 12 Feb 2025

https://github.com/maxvandenhoven/deep-defect-detection

University project applying deep neural networks and automatic hyperparameter optimization to detect defects in manufactured parts

binary-classification convolutional-neural-networks deep-learning deep-neural-networks defect-detection hyperopt hyperparameter-optimization python pytorch sklearn

Last synced: 29 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/justanhduc/improved-wgan

A Theano implementation of Improved WGAN

deep-learning deep-neural-networks gan

Last synced: 04 Feb 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) 503 Papers & Code 423 Introduction 369 DL4M summary 358 Overview 320 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: 96 Tools for Robotics 94 Further Reading 91 Natural Language Processing 89 Reinforcement Learning Learning Resources 86 Using AI for Pentesting 84