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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: 2025-01-09 00:10:35 UTC
- JSON Representation
https://github.com/thoth2357/transfer-and-nontransfer-learning-models-for-pneumonia-detection
Pneumonia detection using transfer learning learning with different deep learning model
classification-algorithm deep-learning deep-neural-networks keras-tensorflow pneumonia-classification
Last synced: 07 Jan 2025
https://github.com/simranjeet97/googlevision_ocr
GoogleVision_OCR Project to Read out PDF
data-science data-structures deep-learning deep-neural-networks gcp google google-analytics google-cloud-platform googlecloud googlecloudplatform googlecloudstorage machine-learning machine-learning-algorithms ocr ocr-engine ocr-recognition ocr-service python python-ocr python3
Last synced: 14 Nov 2024
https://github.com/hiroakimikami/nnabla-ggnn
Reimplement gated graph neural network in NNabla
deep-learning deep-neural-networks ggnn nnabla
Last synced: 13 Nov 2024
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/shaheennabi/deep-learning-practices-and-mini-projects
Welcome to Deep Learning & Math with Python! ππ₯ Here, we blend code and theory to build deep learning algorithms from scratch and explore the math behind them. π§ β‘ Whether you're just starting or a seasoned pro, this space is all about learning, experimenting, and creating AI magic together! π₯π Let's code, learn, and innovate!
activation-functions backpropagation calculus deep-learning deep-neural-networks linear-algebra maths-behind-neural-network opencv pytorch tensorflow
Last synced: 14 Nov 2024
https://github.com/sadmansakib93/petals-to-the-metal-flower-classification-kaggle
This notebook is the solution for Kaggle's Petals to the Metal - Flower Classification on TPU challenge: https://www.kaggle.com/c/tpu-getting-started
artificial-intelligence classification deep-learning deep-neural-networks densenet flower-classification kaggle kaggle-competition kaggle-petals keras keras-neural-networks notebook tpu-challenge transfer-learning
Last synced: 12 Nov 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 Nov 2024
https://github.com/amazon-science/contrastive_emc2
Code the ICML 2024 paper: "EMC^2: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence"
contrastive-learning deep-neural-networks machine-learning machine-learning-algorithms mcmc-sampling multi-modal multi-modal-learning
Last synced: 12 Nov 2024
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/abhiramdodda/two-stage-plant-diesease-detection
In this repo a two stage plant disease detection is introduced which reduces time required for training and gives greater accuracy.
deep-neural-networks efficientnet image-processing tensorflow
Last synced: 12 Nov 2024
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 Nov 2024
https://github.com/pritz69/wine_quality_prediction_ml
Neural Networks and Deep Learning Project ,developing a Machine Learning Model .
artificial-intelligence deep-learning deep-neural-networks machine-learning neural-networks
Last synced: 12 Nov 2024
https://github.com/jeremiegince/mixture_models_deep_rl
Mixture models in deep reinforcement learning with gym
atari deep-learning deep-neural-networks deep-reinforcement-learning gym-environment mixture-model mixture-models reinforcement-learning
Last synced: 19 Nov 2024
https://github.com/aman-17/deep-learning-practise
Practicing deep learning also involves being familiar with the libraries and frameworks like Tensorflow, Pytorch, Theano, etc. that are commonly used to train and deploy deep learning models, as well as staying up to date with the latest research and advancements in the field.
deep-learning deep-neural-networks python pytorch tensorflow
Last synced: 25 Nov 2024
https://github.com/achint08/handwritten
Handwritten digit recognition
computer-vision convolutional-neural-networks deep-neural-networks machine-learning
Last synced: 30 Nov 2024
https://github.com/danhenriquex/data_science_and_machine_learning
Learning Data Science and Artificial Inteligence concepts
deep-learning deep-neural-networks machine-learning matplotlib numpy pandas
Last synced: 14 Nov 2024
https://github.com/luluw8071/neural-network-from-scratch-using-numpy
A linear neural network from scratch using Numpy for training MNIST Dataset
deep-neural-networks digit-recognition-mnist mnist-classification neural-network-from-scratch numpy python
Last synced: 12 Nov 2024
https://github.com/rafaykhattak/captionify
With Captionify, users can upload an image or enter an image URL to generate a descriptive caption that accurately describes the contents of the image.
deep-neural-networks encoder-decoder-model gpt-2 transfer-learning transformer vision-transformer
Last synced: 13 Nov 2024
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/makism/mtggg
mtg good game
apache-spark data-engineering data-science deep-neural-networks python
Last synced: 19 Nov 2024
https://github.com/berndporr/deep-learning-analytics
The core deep learning math
deep-learning deep-neural-networks
Last synced: 08 Jan 2025
https://github.com/karan-malik/simplegans
Using a GAN implemented with Keras to generate images similar to the MNIST Dataset
cnn cnn-keras data-science datagenerator deep-learning deep-neural-networks gan gan-keras gan-tensorflow gans keras machine-learning python python3 tensorflow tensorflow2
Last synced: 14 Nov 2024
https://github.com/karan-malik/self-organizing-maps
Python implementation of the unsupervised Deep Learning Algorithm SOM
deep-learning deep-neural-networks deeplearning dimensionality-reduction python python3 self-organizing-map som unsupervised-deep-learning unsupervised-learning unsupervised-machine-learning
Last synced: 14 Nov 2024
https://github.com/karan-malik/digitrecognition
Using Deep Learning to recognize Handwritten Digits (MNIST) and hosted using Flask
cnn cnn-keras convnet convolutional-neural-networks css deep-learning deep-neural-networks deeplearning flask flask-application html html5 keras machine-learning mnist-classification mnist-handwriting-recognition python python3
Last synced: 14 Nov 2024
https://github.com/techshot25/keplerdata
This checks out data provided by the Kepler space telescope to study exoplanets.
artificial-neural-networks decision-tree-algorithm deep-neural-networks k-nearest-neighbors machine-learning matplotlib multi-layer-perceptron neural-network random-undersampling statistics support-vector-machines
Last synced: 07 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/stazizov/projecthat
image verification system
deep-learning deep-neural-networks deepface face-landmarks facial image mediapipe opencv recognition torch verification
Last synced: 13 Nov 2024
https://github.com/ravish1729/neural-network-for-beginners
Create a image classifier with your own architecture
computer-graphics computer-vision deep-learning-tutorial deep-neural-networks machine-learning mnist-classification
Last synced: 12 Nov 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: 13 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: 15 Dec 2024
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: 14 Nov 2024
https://github.com/md-emon-hasan/ml_project_fake_news_predictin_using_deep_learning_with_lstm
π° The Fake News Detection System uses deep learning techniques, specifically LSTM models, to classify news articles as real or fake.
ai cnn data-science deep-learning deep-neural-networks fake-new fake-news-detection gru keras lstm lstm-neural-networks machine-learning ml news-classification rnn sentiment-analysis tensorflow tensorflow-model text-classification text-processing
Last synced: 21 Nov 2024
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: 13 Nov 2024
https://github.com/mohammad95labbaf/energyprediction-arima-transformer
This report investigates the energy consumption prediction using time series analysis and deep learning methodologies. The extracted features and implemented transformer model demonstrate a high predictive accuracy.
arima arma deep-learning deep-neural-networks deeplearning feature-extraction feature-selection lstm lstm-neural-networks prediction time-series time-series-analysis timeseries transformer
Last synced: 14 Nov 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: 13 Nov 2024
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: 14 Nov 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: 13 Nov 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: 13 Nov 2024
https://github.com/fardinhash/stock-data-forecasting
Stock Data forecasting analysis based on SVM, Linear Regression, Deep Neural Network & Logistic Regression. Analyzed on real-time data. Predicted for Next 7 days.
deep-neural-networks linear-regression logistic-regression lstm stock-analysis stock-market stock-prediction stock-price-prediction stock-prices support-vector-machines svm
Last synced: 14 Nov 2024
https://github.com/mohammad95labbaf/brain-tumor-transferlearning
The Brain Tumor MRI Dataset from Kaggle is employed for automated brain tumor detection and classification research. Investigated methods include using pre-trained models (VGG16, ResNet50, and ViT). π§ π
cnn cnn-keras deep-learning deep-neural-networks deeplearning kaggle-dataset keras keras-tensorflow neural-network neural-networks pretrained-models resnet-50 transfer-learning tumor-classification tumor-detection vgg16 vision vision-transformer vit
Last synced: 14 Nov 2024
https://github.com/ggiuffre/machine-lambda
Purely functional implementation of SGD on feed-forward neural nets
deep-neural-networks functional-programming haskell-library neural-network stochastic-gradient-descent
Last synced: 18 Nov 2024
https://github.com/ynstf/moboot
Moboot is a chatbot developed in Moroccan Darija, Based on a collection of Moroccan phrases and responses, Moboot has been trained to engage in relatively short conversations with users.
api boot css darija-nlp deep-neural-networks flask html neural-network nlp
Last synced: 12 Nov 2024
https://github.com/ondrejbiza/drl_gym
Deep Reinforcement Learning gym.
deep-neural-networks deep-reinforcement-learning openai-gym reinforcement-agents reinforcement-learning tensorflow tensorflow-experiments
Last synced: 08 Jan 2025
https://github.com/kalessin/nntop
deep-learning deep-neural-networks python2 python3 tensorflow
Last synced: 24 Nov 2024
https://github.com/kalthommusa/deep-neural-networks-with-pytorch
Collection of Coursera's Deep Neural Networks with PyTorch course by IBM labs notebooks.
cnn-classification cnn-model computer-vision convolutional-neural-networks deep-learning deep-neural-networks neural-network pytorch pytorch-cnn
Last synced: 16 Nov 2024
https://github.com/vatshayan/research-papers-
Research papers as blue prints, drafts, pre prints and published papers
artificial-intelligence big-data blockchain blockchain-technology data-analysis data-mining data-science data-visualization deep-learning deep-neural-networks image-classification image-manipulation image-processing machine-learning machine-learning-algorithms machine-learning-library python supervised-learning unsupervised-machine-learning webdevelopment
Last synced: 15 Nov 2024
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 Nov 2024
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/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/kmohamedalie/dtm_deep_learning_euclid_dataset
Euclid Dataset
computer-vision convolutional-neural-networks deep-neural-networks geometry machine-learning mathematics
Last synced: 02 Jan 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/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/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/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/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/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: 19 Nov 2024
https://github.com/athari22/sentiment-analysis-web-app
In this project, I created a Sentiment Analysis Web App using PyTorch and SageMaker. This project is part of the deep learning nanodegree program at udacity. Project Overview In this project, I constructed a recurrent neural network for the purpose of determining the sentiment of a movie review using the IMDB data set. Used Amazon's SageMaker service. In addition, created a simple web app that will interact with the deployed model.
amazon amazon-web-services deep-learning deep-neural-networks machine-learning neural-network python pytorch sagemaker sentiment-analysis
Last synced: 30 Dec 2024
https://github.com/athari22/tv-script-generation
In this project, I generated Seinfeld TV scripts using RNNs.This project is part of udacity deep learning nanodegree program. The Neural Network will generate a new, "fake" TV script, based on patterns it recognizes in this training data.
deep-learning deep-neural-networks machine-learning neural-network python pytorch rnn rnn-encoder-decoder rnn-model rnn-pytorch
Last synced: 30 Dec 2024
https://github.com/alandoescs/ml-reading-group
The GitHub Page of the Bavarian International School Machine Learning Reading Group
deep-learning deep-neural-networks machine-learning neural-networks reading-list
Last synced: 29 Dec 2024
https://github.com/bismillah-jan/deep-neural-network
A demonstration of Deep Neural Network implementation using TensorFlow.
adaline-learning-algorithm deep-neural-networks keras tensorflow
Last synced: 16 Nov 2024
https://github.com/m0saan/guitardetect
Deep Learning for Guitars πΈ: Guitar Classifier using CNN
cnn cnn-classification deep-neural-networks guitar-classifier
Last synced: 16 Nov 2024
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 Nov 2024
https://github.com/maxadams0/starryright
Dataset preparation for VikX
astronomy dataset-generation deep-neural-networks python
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/quarkgluant/deeplearning_tf
the "hello world" of the Deep Learning, MNIST dataset with tensorflow
deep-neural-networks python3 tensorflow-examples
Last synced: 07 Jan 2025
https://github.com/quarkgluant/deep_learning_a_z
french Udemy course based on the Kirill Eremenko's course on deep learning with Python
deep-learning deep-learning-tutorial deep-neural-networks python3 pytorch tensorflow
Last synced: 07 Jan 2025
https://github.com/arkapg211002/sem-7-cse
Books and Organizers for Sem 7 CSE
books deep-neural-networks machine-learning operations-research organizer project-management
Last synced: 15 Nov 2024
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 Nov 2024
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 Nov 2024
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/bilalhameed248/delay-reason-extraction-model
Efficient Delay Reason Extraction in Patient Appointments/Treatments Using BERT and Tensorflow. - Feb 2022 - Jun 2023
bert bert-fine-tuning bert-model biobert data-extraction data-preprocessing data-science deep-learning deep-neural-networks dnn pytorch semantic-analysis sentence-embeddings tensorflow transformer
Last synced: 15 Nov 2024
https://github.com/bilalhameed248/patient-most-recent-treatments-similarity-measuring
BioBert Enhanced Patient Treatment Similarity Analysis with Sentence Transformers
bert bert-fine-tuning bert-model biobert data-extraction data-preprocessing data-science deep-learning deep-neural-networks dnn python pytorch sentence-embeddings sentence-similarity sentence-transformers sentiment-analysis transformer
Last synced: 15 Nov 2024
https://github.com/bilalhameed248/diagnosis-effecting-patients-recovery-detection
A DNN Based Diagnosis Impact Detection Model. - Feb 2022 - Jun 2023
bert classification data-science datapipeline datapreprocessing deep-neural-networks dnn fine-tuning healthcare physiotherapy python transformer
Last synced: 15 Nov 2024
https://github.com/bilalhameed248/whisper-fine-tuning-for-pronunciation-learning
Fine Tuning of Whisper Speech To Text Base Model For Pronunciation Learning
deep-learning deep-neural-networks dnn fine-tuning openai pronunciation python seq2seq speech speech-recognition speech-synthesis speech-to-text whisper whisper-ai
Last synced: 15 Nov 2024
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: 15 Nov 2024
https://github.com/bilalhameed248/rice-leaf-diseases-classification-using-pytorch
Pytorch Based Rice Leaf Diseases Classification. - Personal Project
custom-model-development data-augmentation data-pipeline data-science deep-neural-networks image-classification machine-learning python pytorch
Last synced: 15 Nov 2024
https://github.com/imumi17/melanoma-skin-cancer-detection
Melanoma Cancer Detection
deep-learning deep-neural-networks melanoma-detection
Last synced: 30 Dec 2024
https://github.com/oscardelgado02/signal-detection-and-classification-dl-model
Deep Learning project that uses yolov5 to detect and classify traffic signals in videos.
deep-learning deep-neural-networks object-detection object-recognition traffic traffic-sign-classification traffic-sign-detection traffic-sign-recognition traffic-signs yolo yolov5
Last synced: 15 Nov 2024
https://github.com/ahmad-ali-rafique/handwritten-digit-recognition-mnist
This project demonstrates a complete pipeline for recognizing handwritten digits using the MNIST dataset. The project is implemented in Python using Jupyter Notebook, and it covers data loading, preprocessing, model training, and performance evaluation of a Fully Connected Neural Network (FCNN).
ai artificial-intelligence data data-analysis datascience deep-learning deep-neural-networks fcnn fully-connected-network machine-learning machine-learning-algorithms ml modeling
Last synced: 15 Nov 2024
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: 15 Nov 2024
https://github.com/ahmad-ali-rafique/weather-prediction-fcnn
This project demonstrates a complete pipeline for weather prediction using a Fully Connected Neural Network (FCNN). The project is implemented in Python using Jupyter Notebook, and it covers data loading, preprocessing, model training, and performance evaluation.
ai artificial-intelligence data-analysis data-science deep-learning deep-neural-networks fully-connected-network machine-learning machine-learning-algorithms weather-information
Last synced: 15 Nov 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/zubair-irshad/udacity_deep_rl
My solutions (with explanations) to the Udacity Deep Reinforcement Learning Nano Degree Program assignments, mini-projects and projects
ddpg-algorithm deep-neural-networks deep-q-network deep-reinforcement-learning dqn ppo pytorch reinforcement-learning unity-ml-agents
Last synced: 16 Nov 2024
https://github.com/nuel77/style_transfer_using_tensorflow_2.0
style transfer using vgg19 model- referenced form tensor flow tutorials- made using tensorflow 2.0 and keras
beginner-friendly beginner-project deep-learning deep-neural-networks keras keras-neural-networks keras-tensorflow style-transfer tensorflow-examples tensorflow-experiments tensorflow-tutorials vgg19
Last synced: 17 Nov 2024
https://github.com/loaiwalid07/portfolio
Loai Nazeer portfolio
classification clustering computer-vision data-science deep-learning deep-neural-networks machine-learning matplotlib matplotlib-pyplot nlp nlp-machine-learning nltk numpy pandas plotly sklearn streamlit tensorflow-tutorials
Last synced: 17 Nov 2024
https://github.com/coolashishpt/-machine-deep-learning
RESEARCH PAPERS AND IMPLEMENTATIONS (Semi Projects)
deep-learning deep-neural-networks jupyter-notebook machine-learning machinelearning-python python-3-6
Last synced: 22 Dec 2024
https://github.com/donggeunyu/deep-learning-examples
Deep Learningμ μ¬λ¬ μμ λ₯Ό μ 리ν κ²!
deep-learning deep-learning-tutorial deep-neural-networks deeplearning python
Last synced: 15 Nov 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/amlanmohanty1/face-recognition-attendance-management-system-with-powerbi-dashboard
Face Recognition based Attendance Management System with a Flask web application and Power BI attendance dashboard.
attendance-management-system deep-neural-networks dlib-face-recognition face-recoginition flask opencv opencv-python power-bi power-bi-dashboard powerbi powerbi-report python sqlite3
Last synced: 15 Nov 2024
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: 17 Nov 2024
https://github.com/dhrupad17/100-days-of-deep-learning
Its the practice repository covering all the concepts @campusx-official has covered in his playlist in much detailed way.
cnn deep-learning deep-neural-networks lstm-neural-networks mlp-networks perceptron rnn
Last synced: 15 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: 15 Nov 2024
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: 17 Nov 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