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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/victorowinoke/cnn-image-classification-using-fashion-mnist-dataset

There's been much speculation in recent years about neural networks technologies and other deep learning algorithms, primarily because of the popularity of several implementations in the sector utilizing these techniques. Consequently, this hype has yielded several innovative ideas to build open-source libraries and methods to enable the average income tech-savvies to achieve their objective. This research paper aims to examine and illustrate how to use deep learning technologies and algorithms to precisely classify a dataset of fashion images into their respective clothing categories. First, the paper shows the general knowledge of convolutional neural networks (CNN) and the techniques of image classification. Later on, it also discusses the methodology of building a neural network and the simulation process. The results of the neural network simulation are compressively evaluated and discussed.

cnn-classification cnn-keras code deep-neural-networks fashion-classifier fashion-mnist-dataset image-classification python3 report tensorflow tensorflow-models

Last synced: 03 Nov 2024

https://github.com/skalskip/yolov5js-zoo

Repository of pre-trained YOLOv5 models in tensorflow.js format

ai deep-learning deep-neural-networks javascript machine-learning tensorflowjs typescript yolo yolov5

Last synced: 27 Oct 2024

https://github.com/kyegomez/gated-slot-attention

An implementation of the paper: "Gated Slot Attention for Efficient Linear-Time Sequence Modeling" in PyTorch

ai attentions deep-neural-networks deeplearning machinelearnin ml pytorch tensorflow torch torchvision

Last synced: 13 Oct 2024

https://github.com/fork123aniket/text-generation

Implementation of Multi-Layer LSTMs for word-level language modelling in Tensorflow

deep-learning deep-neural-networks lstm lstm-model natural-language-processing nlp tensorflow-tutorials tensorflow2

Last synced: 03 Nov 2024

https://github.com/wesleylp/dissertation

Dissertation for the degree of M. Sc. in Electrical Engineering.

aedes aedes-aegypti computer-vision deep-learning deep-neural-networks object-detection

Last synced: 29 Oct 2024

https://github.com/gerardocipriano/Cerberus-Dog-Breed-Classification-and-Body-Localization-PyTorch

Cerberus is a PyTorch-based project for classifying dog breeds and localizing specific body parts within images. Our model is capable of recognizing and classifying 3 dog breeds (Toy Poodle, Beagle, Siberian Husky) and localizing 3 specific body parts (eyes, nose, tail) within images.

deep-learning deep-neural-networks python pytorch yolo

Last synced: 01 Aug 2024

https://github.com/ac-alpha/vaes-using-pytorch

Variational Autoencoders trained on MNIST Dataset using PyTorch

deep-learning deep-neural-networks pytorch pytorch-cnn pytorch-implmention vae

Last synced: 12 Oct 2024

https://github.com/philipperemy/neural-probability-dist-sampler

Training a network to sample from any probability distributions such as exponential distribution.

deep-learning deep-neural-networks probability-distribution sampler statistics tensorflow

Last synced: 29 Oct 2024

https://github.com/mohammedyunus009/dnn_acoustic_rec

A acoustic sound or environmental sound recogniser, uses deep neural networks to train on models

deep-learning deep-neural-networks extract-features keras sound sound-processing sound-synthesis soundcloud-api tensorflow

Last synced: 02 Nov 2024

https://github.com/mouralisandra/deeplearninglabs

A collection of Deep Learning labs for the INSAT Data Science course.

cnn deep-learning deep-neural-networks dnn embeddings fcnn glove nlp perceptron

Last synced: 27 Oct 2024

https://github.com/saransh-cpp/scenenet

Scenery detection using transfer learning. (Frontend)

dart deep-learning deep-neural-networks flutter transfer-learning

Last synced: 22 Oct 2024

https://github.com/atapas/ml-greenroots

ml-greenroots is a Pet project to run ML in the Browser using various libraries and frameworks available. How about a ⭐️?

deep-neural-networks gatsby gatsbyjs machine-learning ml5js netlify react reactjs

Last synced: 14 Oct 2024

https://github.com/mkashirin/scratches

Scratches is a project, which provides a comprehensive guide to creating deep learning models from scratch using Python and NumPy.

artificial-intelligence artificial-neural-networks deep-learning deep-neural-networks from-scratch machine-learning machine-learning-algorithms numpy python

Last synced: 06 Nov 2024

https://github.com/jmaces/torch-adf

PyTorch implementation of Assumed Density Filtering (ADF) based probabilistic neural networks

deep-learning deep-neural-networks machine-learning probabilistic-models pytorch torch

Last synced: 20 Oct 2024

https://github.com/lucasb-eyer/backprop.jl

Textbook implementation of backprop (from the Jacobian point of view) in Julia.

backpropagation backpropagation-learning-algorithm deep-learning deep-neural-networks exercise-solutions julia julia-language

Last synced: 05 Nov 2024

https://github.com/dilumdesilva/daugmentor

DAugmentor: Automating Generative Adversarial Network Tuning for Data Augmentation

data-generation deep-learning deep-neural-networks gan

Last synced: 14 Oct 2024

https://github.com/frankchen121212/RHSNet

Tensorflow and Keras implementation of RHSNet for recombination hotspot identification and quantification

computational-biology deep-neural-networks motif-discovery

Last synced: 08 Aug 2024

https://github.com/masasron/deepnet

DeepNet is simple node based cli tool for creating machine learning classifiers you can use on the web.

classifier classifier-training deep-learning deep-neural-networks machine-learning nodejs

Last synced: 13 Oct 2024

https://github.com/tallamjr/dnn

Implementations of Deep Neural Networks in Tensorflow 2.x

deep-learning deep-neural-networks keras tensorflow tensorflow-examples tensorflow2

Last synced: 10 Oct 2024

https://github.com/jonperk318/machine-learning-analysis-of-hyperspectral-data

Using Non-negative Matrix Factorization (NMF) and Variational Autoencoder (VAE) machine learning architectures to analyze spatial and spectral features of hyperspectral cathodoluminescence (CL) spectroscopy images taken from hybrid inorganic-organic perovskite material

data-analysis data-science deep-neural-networks explained-variance hybrid-perovskite hyperspectral-image-classification machine-learning matplotlib nmf non-negative-matrix-factorization python pytorch scikit-learn semi-supervised-learning signal-processing solar-energy spectroscopy unsupervised-learning vae variational-autoencoder

Last synced: 06 Nov 2024

https://github.com/abidshafee/datascienceyoutubetutorials

This repository holding some python notebooks which I made to cast some of my practical data science projects on YouTube

cs cs-school data-science deep-learning deep-neural-networks machine-learning shafekul-abid video-tutorials youtube youtube-channel

Last synced: 11 Oct 2024

https://github.com/EliasVansteenkiste/plnt

A Python framework for classification of satellite imagery of the Amazon, built with Pytorch and Lasagne/Theano. The goal is to find deforestation activity.

classification deep-neural-networks kaggle lasagne python pytorch satellite-imagery

Last synced: 01 Aug 2024

https://github.com/camara94/convolutional-neural-networks

Implement the foundational layers of CNNs (pooling, convolutions) and stack them properly in a deep network to solve multi-class image classification problems.

cnn-keras deep-neural-networks keras tensorflow

Last synced: 05 Nov 2024

https://github.com/mishig25/adversarial-reprogramming-keras

Keras implementation of Adversarial Reprogramming of Neural Networks

deep-learning deep-neural-networks

Last synced: 27 Oct 2024

https://github.com/marcogdepinto/dogs-vs-cats

Deep learning to classify if a picture contains a Dog or a Cat using Python, OpenCV, Keras.

deep-learning deep-learning-tutorial deep-neural-networks image-classification keras numpy opencv python python3

Last synced: 11 Oct 2024

https://github.com/rakibhhridoy/ctscanpredictioncovid19-tensorflow

Classifying covid positive and negative cases in ct-scan images. Though the data is not large enough, it can be processed and make prediction from the model. Images are quite similar thus the task became much complicated.

computer-vision covid-19 ctscan deep-learning deep-neural-networks image-classification image-processing keras machine-learning medical-image-analysis neural-network prognosis python

Last synced: 06 Nov 2024

https://github.com/gitstar-oc/machine-learning

This are the Machine Learning notes by leading AI website named Deeplearning.AI. This notes will help you to be a machine learner from beginner to advanced level. Welcome Everyone!!

deep-learning deep-neural-networks jupyter-notebook machine-learning machine-learning-algorithms matplotlib numpy pandas python scikit-learn supervised-learning tensorflow unsupervised-learning

Last synced: 13 Oct 2024

https://github.com/cyrildever/neural-networks-and-deep-learning-in-golang

Code adaptation of "Neural Networks and Deep Learning" book in Go

deep-learning deep-neural-networks golang neural-networks

Last synced: 13 Oct 2024

https://github.com/majsylw/chihuahua-vs-muffin

Excercises in Deep learning for polish students conducted in winter 2020/21 (polish). With cooperation with Wroclaw University of Technology and OPI. This repository based on materials from beginner's workshop for SJSU ML Club and facebook DETR.

classification deep-neural-networks linear-nn python3 pytorch tutorial-code

Last synced: 15 Oct 2024

https://github.com/wilhelmagren/pychess

Terminal User Interface for playing chess. Either against your friend or the Deep CNN limited look ahead agent.

ai autoencoder chess classification convolutional-neural-networks deep-learning deep-neural-networks machine-learning pygame python-chess pytorch regression

Last synced: 28 Oct 2024

https://github.com/suhani1209/mobile-gallery-image-classifier

Distinguishes the mobile gallery's images into various sets such as whatsapp documents, nature, cars, screenshots, the machine learns itself and predicts the results with an accuracy of 97.6%

cnn deep-learning deep-neural-networks image-classification object-classification python

Last synced: 06 Nov 2024

https://github.com/jstzwj/traph

An open-source machine learning platform

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

Last synced: 26 Oct 2024

https://github.com/camara94/reseau-neurone-tensorflow-2

TensorFlow est une bibliothèque open source de Machine Learning, créée par Google, permettant de développer et d’exécuter des applications de Machine Learning et de Deep Learning

algorithms-and-data-structures deep-learning deep-neural-networks machine-learning python3 tensorflow2

Last synced: 05 Nov 2024

https://github.com/tanishqjasoria/deeplearning

Implementation of some Neural Network architecture using Numpy, TensorFlow and Keras.

convolutional-neural-networks deep-learning deep-neural-networks residual-learning tensorflow transfer-learning

Last synced: 05 Nov 2024

https://github.com/idwessough/autonomous-driving

Autonomous Driving behaviour for a 4 wheel drive robot vehicle using AI and ROS to drive autonomously in a scaled city

artificial-intelligence computer-vision deep-neural-networks object-recognition robot-framework robotics ros2

Last synced: 13 Oct 2024

https://github.com/coditheck/tensorflow

TensorFlow is an open source Machine Learning library, created by Google, for developing and running Machine Learning and Deep Learning applications.

deep-learning deep-neural-networks keras machine-learning neural-network python tensorflow tensorflow-tutorials

Last synced: 03 Nov 2024

https://github.com/nikhilcodes/draw-anywhere

Not just any simple Digit Recognition. MNIST Digit Recognition got lot more Interesting!

computer-vision cv2 deep-learning deep-neural-networks drawing-app illusion keras-neural-networks opencv opencv-python

Last synced: 30 Oct 2024

https://github.com/marcogdepinto/panoramamodelserving

Using Java and deeplearning4j to serve a Keras model.

deep-learning deep-neural-networks deeplearning deeplearning4j java keras python

Last synced: 11 Oct 2024

https://github.com/kawai-senpai/heartly

Heartly is a Python application developed with Kivy, designed to evaluate the risk of heart disease based on user inputs. The application utilizes a neural network model to predict the likelihood of heart disease, providing a percentage risk based on a series of questions related to the user's health and lifestyle.

deep-learning deep-neural-networks heart-disease kivy kivy-framework kivymd pytorch

Last synced: 31 Oct 2024

https://github.com/keyurparalkar/cifar-10

ConvNet implementation for CIFAR-10 dataset using pytorch

convolutional-neural-networks deep-learning deep-neural-networks lenet-architecture pytorch

Last synced: 11 Oct 2024

https://github.com/sayannath/linear-app

An ANN model is built and trained and exported to tflite format. Then it is integrated into Android App.

android ann deep-learning deep-neural-networks java keras machine-learning tensorflow tflite

Last synced: 24 Oct 2024

https://github.com/samanyougarg/dl-mnist

Deep Learning on the MNIST Handwritten Digits Dataset.

deep-learning deep-neural-networks keras mnist python tensorflow

Last synced: 26 Oct 2024

https://github.com/vanditg/image_analytics_task_ai_australia

This repository contains solutions or files of my attempt for the AI Austraial task of Image Analytics. The submission language is Python.

blurred-background bounding-boxes computer-vision deep-learning deep-neural-networks face-detection face-quality facial-expression-recognition haarcascade-frontalface

Last synced: 05 Nov 2024

https://github.com/agamiko/neural-based-data-augmentation

Improving generalization via style transfer-based data augmentation: Novel regularization method

cnn data-augmentation database deep-learning deep-neural-networks image-classification image-synthesis paper skin-lesions style-transfer

Last synced: 15 Oct 2024