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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.
- GitHub: https://github.com/topics/deep-neural-networks
- Wikipedia: https://en.wikipedia.org/wiki/Deep_neural_networks
- Aliases: deep-neural-network,
- Last updated: 2025-01-29 00:07:36 UTC
- JSON Representation
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/aditya30394/dogs-vs-cats
Using convolution networks to classify Dogs and Cats
convolutional-neural-networks deep-neural-networks image-classification python-3 transfer-learning
Last synced: 07 Dec 2024
https://github.com/tiennhm/artist-style-transfer-cyclegan
Implement Artist Style Transfer using CycleGAN
ai artistic-style-transfer cyclegan deep-learning deep-neural-networks dl gan generative-adversarial-network
Last synced: 27 Jan 2025
https://github.com/vara-co/deep-learning-challenge
Deep Learning Challenge (Module 21)
deep-learning deep-neural-networks deeplearning machine-learning predictions
Last synced: 07 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/hiroakimikami/nnabla-ggnn
Reimplement gated graph neural network in NNabla
deep-learning deep-neural-networks ggnn nnabla
Last synced: 13 Jan 2025
https://github.com/gregyjames/rperceptron
A simple perceptron implemented in R.
classification classification-algorithims classification-algorithm data-science deep-learning deep-neural-networks graphing linear-classifier perceptron perceptron-learning-algorithm r
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/j3-signalroom/j3-ml_ai-education_experiences
Some of the project notebooks I built during my deepatlas.ai well-rounded education program.
artificial-intelligence artificial-neural-networks deep-learning deep-neural-networks machine-learning
Last synced: 14 Dec 2024
https://github.com/shiva16/resume_other
Other activities
cv deep-learning deep-neural-networks machine-learning nlp nlp-machine-learning resume
Last synced: 01 Dec 2024
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/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/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/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/doktormike/neuralnethack
Automatically exported from code.google.com/p/neuralnethack
backpropagation-learning-algorithm c-plus-plus deep-learning deep-neural-networks deeplearning feedforward-neural-network neural-networks
Last synced: 08 Dec 2024
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/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/mohamedomar2020/keras_tensorflow
Using Keras to build a deep neural network for bladder cancer progression
adam-optimizer bladder-cancer cancer cancer-research deep-learning deep-neural-networks dropout genomics keras keras-tensorflow machine-learning machine-learning-algorithms multi-perceptron sgd-optimizer softmax tensorflow
Last synced: 03 Oct 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: 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/absognety/eva4
Extensive Vision AI Program from The School Of AI
batch-normalization cnns computer-vision deep-neural-networks dropout kernels maxpooling pytorch softmax
Last synced: 22 Jan 2025
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/stazizov/projecthat
image verification system
deep-learning deep-neural-networks deepface face-landmarks facial image mediapipe opencv recognition torch verification
Last synced: 12 Jan 2025
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/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/blacksujit/deep-neural-networks
This repo contains my Neural Networks Learning With Projects
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 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: 25 Dec 2024
https://github.com/tal7aouy/nlp-roadmap
Master NLP Roadmap 🛣️
deep-learning deep-neural-networks machine-learning nlp nlp-parsing
Last synced: 29 Dec 2024
https://github.com/rupeshtr78/machine_learning
Machine Learning TensorFlow Neural Networks Deep Learning
classification data-analysis deep-learning deep-neural-networks flink jupyter-notebook keras machine-learning machinelearning-python perceptron python3 spark tensorflow
Last synced: 12 Jan 2025
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: 28 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/ksasi/dog-breed-classifier
Dog Breed Classifier
cnn cnn-classification computer-vision deep-learning deep-neural-networks keras keras-neural-networks machine-learning numpy pandas python scikit-learn
Last synced: 07 Jan 2025
https://github.com/ka-sarthak/mm-generator
DL models for generating stress fields in microstructures
deep-neural-networks fourier-ne generative-adversarial-network surrogate-modelling
Last synced: 27 Jan 2025
https://github.com/kedhareswer/pdfchatbot
The Following Project is just me trying to understand a way to make PDF Chat bot this is not the final work
css deep-learning deep-neural-networks html machine-learning pdfjs python
Last synced: 21 Jan 2025
https://github.com/nazir20/gender-classification-using-mfcc-with-lstm-model
Gender classification from audio signals is an important task with various applications, such as speech recognition systems, voice assistants, and speaker verification. This project aims to demonstrate how to use Mel Frequency Cepstral Coefficients as features and a Long Short-Term Memory (LSTM) neural network for gender classification.
audio-processing deep-learning deep-neural-networks gender-classification lstm lstm-neural-networks mfcc mfcc-extractor neural-networks
Last synced: 27 Jan 2025
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/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/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/ksasi/deep_vision
The School of AI - Deep Vision
artificial-intelligence computer-vision deep-learning deep-neural-networks keras-tensorflow tensorflow
Last synced: 07 Jan 2025
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/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/kevinam99/ml-internship-training
Repo containing all the codes and resources from the workshop
artificial-intelligence convolutional-neural-networks deep-neural-networks machine-learning machine-learning-algorithms neural-networks opencv-python recurrent-neural-networks
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: 12 Jan 2025
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
https://github.com/dkosarevsky/bmstu_bgqw
BMSTU Bachelor's Graduate Qualification Work
deep-learning deep-neural-networks deepface deepfake deepfake-detection deepfakes deeplearning neural-network python streamlit
Last synced: 21 Dec 2024
https://github.com/maxvandenhoven/bounded-knapsack-reinforcement-learning
University project applying deep reinforcement learning to solve the bounded knapsack problem
bounded-knapsack-problem deep-learning deep-neural-networks deep-reinforcement-learning gym knapsack-problem operations-research or-gym python pytorch
Last synced: 29 Dec 2024
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/lugq1990/neural-nets
Build deep learning models more efficient based on TensorFlow.
deep-learning deep-neural-networks machine-learning tensorflow
Last synced: 08 Jan 2025
https://github.com/uranusx86/addernet-on-tensorflow
a implementation of neural network with almost no multiplication with tensorflow 2 (Adder Net)
adder addernet ai artificial-intelligence cnn custom-layer deep-learning deep-neural-networks image-classification implementation implementation-of-research-paper keras lightweight mnist neural-network tensorflow tensorflow2
Last synced: 21 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/ashraf-khabar/bank-marketing-data-analysis
This project is focused on analyzing bank marketing data using PyTorch, pandas, numpy, and scikit-learn. The goal is to build a predictive model that can help identify potential customers who are more likely to subscribe to a bank's term deposit.
data-cleaning data-science data-visualization dataset deep-learning deep-neural-networks feedforward-neural-network learning neural-networks numpy pandas python pytorch sklearn
Last synced: 21 Jan 2025
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/arssite/dirty-cleanflooringimageprocessingusingyolov5
Uses YOLOv5 to classify floor cleanliness into five categories based on visual cues. It includes an annotated dataset, trained model,& evaluation outputs. Code covers data preprocessing, training, & testing. A comparative analysis highlights YOLOv5's advantages over traditional methods, providing an efficient solution automated floor cleanliness.
deep-neural-networks github google-colab jupyter-notebook labelimg matplotlib-pyplot numpy-library opencv-python pandas-python pytorch scikit-learn tensorflow yolov5
Last synced: 05 Dec 2024
https://github.com/micahondiwa/applied_ai
Deep Learning for Computer Vision: A collection of 6 end-to-end applied AI projects.
computer-vision deep-learning deep-neural-networks deep-reinforcement-learning generative-adversarial-network generative-ai neural-machine-translation neural-network pytorch transformers
Last synced: 09 Dec 2024
https://github.com/tonydeng/machine-learning-examples
Machine Learning Examples
deep-learning deep-neural-networks examples machine-learning neural-network python3 tensorflow
Last synced: 02 Dec 2024
https://github.com/andreasmazur/improvedgnnexplanations
Improve Zorro exlanations for graph neural networks.
deep-learning deep-neural-networks explainability explainable-ai explainable-artificial-intelligence explainable-ml neural-networks
Last synced: 12 Jan 2025
https://github.com/khareyash05/breast-cancer-classification-using-deep-neural-network
Breast Cancer Classification using Deep Neural Networks
breastcancer-classification deep-neural-networks pytorch
Last synced: 11 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/najdbinrabah/deep-learning-with-pytorch-and-captum
This project classifies smoking images using VGG19 with data augmentation, and Captum for model explainability, identifying key features per prediction.
binary-classification captum data-augmentation data-science deep-learning deep-neural-networks grad-cam image-classification integrated-gradients layer-attributions machine-learning occlusion primary-attributions python pytorch transfer-learning vgg19-model
Last synced: 18 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