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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: 05 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: 28 Oct 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: 28 Oct 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: 07 Nov 2024

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: 05 Nov 2024

https://github.com/mahendran-narayanan/double-vit

[ICPR 2024] DoubleViT Pushing transformers towards the end because of convolutions

deep-learning deep-neural-networks icpr2024 pytorch tensorflow

Last synced: 03 Nov 2024

https://github.com/travelxml/tensorflow-and-keras-sentiment-analysis-using-rnn

NLP: Sentiment Analysis using TensorFlow and Keras: This project implements a Recurrent Neural Network (RNN) to classify Amazon product reviews into different sentiment categories. It leverages text preprocessing, tokenization, and model training to predict the sentiment with high accuracy.

deep-learning deep-neural-networks deeplearning keras keras-tensorflow nlp rnn rnn-tensorflow sentiment-analysis tenserflow

Last synced: 03 Nov 2024

https://github.com/zaquyn/tensorflow-developer-certificate-bootcamp

These notebooks contain many foundations in TensorFlow from to fundamental to NLP, Computer Vision and Time series

artificial-intelligence deep-learning deep-neural-networks tensorflow tensorflow-tutorials tensorflow2

Last synced: 03 Nov 2024

https://github.com/techshot25/fashion-mnist-dnn

Testing the construction of deep neural nets (DNNs) on fashion MNIST dataset.

classification deep-neural-networks machine-learning-algorithms neural-network tensorflow tensorflow-experiments

Last synced: 03 Nov 2024

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: 03 Nov 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: 31 Oct 2024

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: 07 Nov 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: 31 Oct 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: 05 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: 06 Nov 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: 15 Oct 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: 05 Nov 2024

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: 05 Nov 2024

https://github.com/chengetanaim/customer-churn-prediction

Customer churn is the loss of customers or subscribers for any reason at all. In this project I was predicting customer churn using artificial neural networks.

artificial-neural-networks deep-learning deep-neural-networks keras machine-learning pandas pandas-dataframe tensorflow2

Last synced: 05 Nov 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: 27 Oct 2024

https://github.com/mozturan/mlanddl-withwebapp

Web app to perfom machine learning algorithms (both for regression and classification) on almost ready datasets.

decision-trees deep-learning deep-neural-networks heatmap linear-regression logistic-regression machine-learning streamlit web-application

Last synced: 05 Nov 2024

https://github.com/tariqdaouda/abyme

Fractals for Deep and Sophisticated (Training) Loops

deep-learning deep-neural-networks deeplearning

Last synced: 07 Nov 2024

https://github.com/sathvik902/master-chef

A Deep Learning model which predicts the Indian Recipe from the ingredients we have in our home.

deep-neural-networks lstm

Last synced: 13 Oct 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: 06 Nov 2024

https://github.com/saravanabalagi/deep_learning

My solutions for Deep Learning by Google MOOC on Udacity

deep-learning deep-neural-networks solutions udacity

Last synced: 06 Nov 2024

https://github.com/camara94/face_recognition

In this project, will learn the concept to implement face recognition problem.

deep-learning deep-neural-networks face-detection face-recognition machine-learning tensorflow2

Last synced: 05 Nov 2024

https://github.com/aiaaee/california_housing

It's about California House value. the goal is find a great method to assemble reasonable train test based on MLP regression by using torch

data-science datasets deep-learning deep-neural-networks machine-learning machine-learning-algorithms python

Last synced: 05 Nov 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 525 awesome-transformers-in-medical-imaging 202 awesome-emdl 147 Awesome-Speech-Enhancement 105 awesome-multi-task-learning 225 Awesome-3D-Object-Detection 169 awesome-full-stack-machine-learning-courses 106 Awesome-Distributed-Deep-Learning 44 awesome-gans-and-deepfakes 61 Awesome-Information-Bottleneck 201 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-ai-brain-computer-interface 97 awesome-speech-emotion-recognition 114 LiDAR-Guide 176 awesome-deepnote 41 CoreML-Guide 333 Awesome-Computational-Structural-Biology 40 awesome-experimental-standards-deep-learning 34 PyTorch-Guide 616 Awesome-Cloud-Edge-AI 58 awesome-approximate-dnn 78 Deep-Learning 38 awesome-deep-learning-materials 69 awesome-data-science 93 TensorFlow-Guide 819 awesome-ai-cybersecurity 158 awesome-optimizers 46 awesome-ai 107
Deep neural networks Categories
Papers 947 Uncategorized 556 Classification COVID19 (Separate section due to its current significance) 408 Papers & Code 408 DL4M summary 360 Introduction 331 Overview 256 Tutorials 241 Other useful related lists and resources 201 Research 197 Neural Networks (NN) and Deep Neural Networks (DNN) 189 Architecture 131 Deep Learning 113 C/C++ Learning Resources 102 Further Reading 100 Tools for Robotics 95 Natural Language Processing 89 Reinforcement Learning Learning Resources 86 Paper: 82 C/C++ Tools and Frameworks 80