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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/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: 22 Jan 2025

https://github.com/ahammadmejbah/understanding-convolutional-layers

Convolutional layers are a type of neural network layer primarily used in deep learning models for processing data that has a grid-like topology, such as images.

deep-learning deep-learning-tutorial deep-neural-networks deep-reinforcement-learning deeplearning

Last synced: 09 Jan 2025

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: 15 Dec 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: 13 Jan 2025

https://github.com/victordibia/neuraldreams

Visual Exploration of Representations Learned by Convolutional Neural Networks

cnn deep-learning deep-neural-networks explainability visualization

Last synced: 10 Jan 2025

https://github.com/paragghatage/artify

Artify is a Neural Style Transfer project that blends the artistic patterns of a style image with the content of another image using deep learning techniques. It leverages the VGG19 model to extract content and style features, enabling the creation of visually stunning artwork that merges textures, colors, and patterns from different sources.

art computer-vision deep-learning deep-neural-networks machine-learning

Last synced: 18 Dec 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: 16 Jan 2025

https://github.com/spy16/churn-prediction

Customer churn prediction using Deep Neural Network.

deep-neural-networks keras-neural-networks keras-tensorflow prediction-model

Last synced: 01 Jan 2025

https://github.com/spy16/cats-and-dogs

cats-and-dogs is a Convolutional Neural Network for classifying cats and dog pictures.

classification convolutional-neural-networks deep-neural-networks

Last synced: 01 Jan 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/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 Jan 2025

https://github.com/redayzarra/cnn_trafficsigns

This is a machine learning project where I utilized the LeNet-5 architecture to create a convolutional deep network that classifies 43 different kind of traffic signs. I've made sure to include a full step-by-step implementation of the project as well as detailed notes for every step.

classification classification-model computer-vision deep-learning deep-neural-networks lenet lenet-5 lenet-architecture machine-learning model-evaluation model-selection

Last synced: 26 Jan 2025

https://github.com/kalthommusa/stop-signs-application

Develop a custom classifier with PyTorch and transfer learning techniques to recognize stop signs, and then deploy it as a web application using Code Engine on IBM cloud.

cnn-classification cnn-model computer-vision convolutional-neural-networks deep-learning deep-neural-networks image-classification image-recognition python pytorch resnet-18 stop-sign-detection transfer-learning

Last synced: 17 Jan 2025

https://github.com/kalthommusa/face-mask-application

Develop a custom classifier with PyTorch and transfer learning techniques to recognize face masks, and then deploy it as a web application using Code Engine on IBM cloud.

cnn-classification cnn-model computer-vision convolutional-neural-networks deep-learning deep-neural-networks face-mask-classification image-classification image-recognition python pytorch resnet-18 transfer-learning

Last synced: 17 Jan 2025

https://github.com/sergio11/breast_cancer_diagnosis_mlp

🩺🔬 MLP-based Breast Cancer Diagnosis: Predicts tumor malignancy from image features, aiding in early detection. 📊🤖

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

Last synced: 14 Dec 2024

https://github.com/milankinen/c2w2c

C2W2C language model from my Master's Thesis

deep-learning deep-neural-networks keras nlp recurrent-neural-networks theano

Last synced: 19 Jan 2025

https://github.com/gsauc3/pytorch-model-details

Package to visualize all the layer parameters of a deep learning model.

cnn-model deep-learning deep-neural-networks model-summary pytorch summary

Last synced: 30 Dec 2024

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 Jan 2025

https://github.com/vidhi1290/image-inpainting

🎨 Restore images flawlessly with our Image Inpainting Showcase! Using Convolutional Neural Networks, we revive corrupted parts. Explore code, models, and innovation for visual perfection. Join the AI journey of artistry and magic! 🖼️🔮 #ImageInpainting

artificial-intelligence artificial-neural-networks cifar10 computer-vision datascience datavisualization deep-learning deep-neural-networks humanfacedetection image-inpainting kaggle lfw-dataset machine-learning machine-learning-algorithms mnist-handwriting-recognition neural-networks python

Last synced: 08 Dec 2024

https://github.com/vidhi1290/face-recognition-system-in-python-using-facenet

Dive into the world of computer vision! Our Image Classification from Video project uses advanced techniques to identify faces in images and videos. Explore video processing, face extraction, and deep learning magic. Join the adventure now! 👩‍💻📸"

computer-vision data-visualization deep-learning deep-neural-networks face-detection friends-dataset haar-cascade-classifier image-classification image-recognition opencv pretrained-models python vggface video-processing

Last synced: 08 Dec 2024

https://github.com/rakibhhridoy/easywaydiveinto-datascience

Data Science is not as easy as it seems at first. The most problem faced by new learner are lack of resource knowledge as well as confusion in using the various resources. I hope this repository will benefit confusion learner.

algorithms algorithms-implemented bayesian-statistics data-science deep-learning deep-neural-networks linear-algebra machine-learning matplotlib multivariate-calculus numpy optimization pandas python scikit-learn scipy seaborn statistics statsmodels tensorflow

Last synced: 25 Dec 2024

https://github.com/gokulnpc/iris-detection

This project focuses on iris detection using deep learning techniques. The model architecture combines the power of ResNet152V2, a pre-trained convolutional neural network (CNN), with additional convolutional layers to accurately detect and localize iris regions in images.

convolutional-neural-networks deep-neural-networks iris-detection resnet

Last synced: 07 Dec 2024

https://github.com/gokulnpc/fashion-mnist-gan

This script outlines the implementation of a Generative Adversarial Network (GAN) designed to generate fashion images using the Fashion MNIST dataset. The GAN consists of a generator and a discriminator, which are trained simultaneously in an adversarial manner.

deep-learning deep-neural-networks fashion-mnist generative-adversarial-network

Last synced: 07 Dec 2024

https://github.com/iwas-coder/guanaco

A simple, uncomplicated, multilayered Neural Network framework written in pure C.

ai ai-models c deep-learning deep-neural-networks header-only neural-network stb

Last synced: 28 Nov 2024

https://github.com/sreeeswaran/text-generation-using-t5

This project demonstrates the use of Transformers for text generation using the T5 model. The project includes the necessary code for training the model on a custom dataset and generating new text.

ai artificial-intelligence artificial-neural-networks deep-learning deep-neural-networks neural-networks t5 t5-model text-generation text-generation-using-t5 text-to-text text-to-text-generation text-to-text-transfer-transformer text-to-text-transformer tranformers

Last synced: 22 Jan 2025

https://github.com/olitheolix/ds2data

Space Sim Inspired Data Set for Machine Learning Purposes

3d-models deep-learning deep-neural-networks machine-learning space-sim tensorflow

Last synced: 02 Jan 2025

https://github.com/ali-el-badry/pothole-detection

A deep learning-based project for detecting potholes in road surfaces using computer vision. Utilizes YOLO models for accurate, real-time pothole detection from images and videos, with a custom dataset and data augmentation techniques. Ideal for applications in road maintenance, autonomous vehicles, and insurance assessments.

deep-learning deep-neural-networks object-detection pothole-detection potholes yolo

Last synced: 06 Dec 2024

https://github.com/annapoorna-a-k/covid-19-detection-using-cnn

A precise and efficient model capable of early and accurate COVID-19 diagnosis.

bioinformatics cnn covid-19 covid-prediction deep-learning deep-neural-networks neural-network x-ray-images

Last synced: 03 Jan 2025

https://github.com/kiritoind/neural-network-for-cat-image-classification

This script defines essential functions for constructing a deep neural network from scratch for image classification. It includes activation functions like sigmoid and ReLU, data loading from H5 files, parameter initialization, forward and backward propagation for training, gradient descent for parameter updates, and functions for prediction

classification computer-vision deep-learning deep-neural-networks jupyter-notebook numpy python

Last synced: 05 Jan 2025

https://github.com/justanhduc/spatial-transformer-network

A Theano implementation of the paper "Spatial Transformer Networks" by Jaderberg et al..

computer-vision deep-learning deep-neural-networks spatial-transformer-network theano

Last synced: 02 Jan 2025

https://github.com/justanhduc/multar

The official implementation of the ICASSP paper "A simple way of multimodal and arbitrary style transfer"

deep-learning deep-neural-networks python style-transfer theano

Last synced: 02 Jan 2025

https://github.com/ivanbgd/udacity-deep-learning-nd101

My solutions to the Udacity Deep Learning Nanodegree Foundation ND101 on-line course, with some examples in C, beside Python (https://www.udacity.com/course/deep-learning-nanodegree-foundation--nd101)

c deep-learning deep-neural-networks jupyter-notebook miniflow neural-networks python tensorflow udacity udacity-deep-learning udacity-nanodegree

Last synced: 08 Dec 2024

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/angelognazzo/Reliable-Trustworthy-AI

Repository for the Reliable and Trustworthy AI course offered in Fall 2022 at ETH Zürich: implementation of DeepPoly, Robustness Analyzer for Deep Neural Networks

computer-vision deep-learning deep-neural-networks reliable-ai robust-machine-learning

Last synced: 17 Nov 2024

https://github.com/kinginthenorth001/rice_leaf_disase_detection

A CNN Model that can predict these 4 (['Bacterialblight', 'Blast', 'Brownspot', 'Tungro']) Rice leaf diseases.

cnn-classification deep-learning deep-neural-networks image-processing keras-neural-networks tensorflow

Last synced: 22 Jan 2025

https://github.com/sathyasris27/image-classification-using-dnn-and-cnn

The main aim of this project is to understand and implement deep neural network (DNN) and convolutional neural network (CNN) and see how these can be used for classification problems.

classification convolutional-neural-networks data-science deep-learning deep-neural-networks image-classification python

Last synced: 10 Jan 2025

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: 30 Dec 2024

https://github.com/leehanchung/deeplearning.ai

Coursera Deeplearning.ai Deep Learning Specialization

coursera deep-learning deep-neural-networks neural-networks tensorflow

Last synced: 08 Jan 2025

https://github.com/norman-thomas/coursera-deep-learning

My implementation of assignments of the Coursera Deep Learning course and specialization

artificial-intelligence coursera deep-learning deep-neural-networks neural-networks

Last synced: 09 Jan 2025

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/joelselvaraj/udacity-mlnd-capstone-handwritting-digit-recognition

Udacity - Machine Learning Engineer Nanodegree Project - A Deep Neural Network to recognise handwritten digits

capstone deep-neural-networks gpu handwritten-digits jupyter-notebook mnist-dataset python udacity-nanodegree

Last synced: 08 Dec 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: 21 Dec 2024

https://github.com/kingabzpro/mrna-vaccine-degradation-prediction

The model that will predict the degradation rates at each base of an RNA molecule.

covid-19 data-science deep-neural-networks mrna-stability vaccine

Last synced: 17 Jan 2025

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: 11 Jan 2025

https://github.com/nobuyuki83/dnn_classify

object classification using deep neural network

classification deep-learning deep-neural-networks neural-network

Last synced: 04 Jan 2025

https://github.com/wapiti08/machine_learning_practice

the collections to practice the wide range of different machine learning skills

deep-neural-networks machine-learning nlp-machine-learning security-automation sklearn

Last synced: 04 Jan 2025

https://github.com/jefferyustc/miscan_cli

MiScan: mutation-inferred screening model of cancer | Apache Software License

bioinformatics deep-learning deep-neural-networks

Last synced: 21 Jan 2025

https://github.com/arif-miad/introduction-to-open-cv

Computer vision is a field of study focused on enabling computers to interpret and understand the visual world. OpenCV provides a comprehensive set of tools and algorithms for various tasks in computer vision, including image and video processing, object detection and tracking, facial recognition, augmented reality, and mor

data-science deep-neural-networks

Last synced: 14 Jan 2025

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). 🧠🔍

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: 13 Jan 2025

https://github.com/toby-sanders-101/mydigits

Everything needed to create a AI bot that can read images

deep-neural-networks image-classification matplotlib numpy opencv pyautogui python

Last synced: 15 Jan 2025

https://github.com/justanhduc/sngan

A Theano implementation of Spectral Normalized GAN

deep-learning deep-neural-networks gan theano

Last synced: 02 Jan 2025

https://github.com/justanhduc/improved-wgan

A Theano implementation of Improved WGAN

deep-learning deep-neural-networks gan

Last synced: 02 Jan 2025

https://github.com/d-kleine/deep-learning

Udacity Deep Learning Nanodegree notes and project solutions

deep-learning deep-neural-networks

Last synced: 23 Jan 2025

https://github.com/a-yush/keras-databases

Implemented various deep learning problems of supervised learning using keras with tensorflow as backend .

computer-vision deep-neural-networks keras keras-implementations python3 supervised-machine-learning

Last synced: 26 Dec 2024

https://github.com/gauravcodepro/expression-neural-network

a deep neural expression based classifier demonstrated to fit a unbalanced dataset, expression datasets across the samples

deep-neural-networks deeplearning expression-evaluator machine-learning machine-learning-algorithms neural-network neural-networks

Last synced: 02 Jan 2025

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 Jan 2025

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: 21 Dec 2024

https://github.com/troublete/go-qndnn

quick 'n' dirty neural network (for practical use)

ai deep-neural-networks go machine-learning relu sigmoid tanh

Last synced: 03 Jan 2025

https://github.com/codewithdark-git/melanoma-skin-cancer-cnn

This repository provides a demonstration of a deep learning-based system for detecting melanoma from grayscale images. The model predicts whether an input image is classified as "BENIGN" or "MELANOMA," along with a confidence score. Please note that this application is for educational purposes only and should not be used for real medical diagnosis.

cancer-detection cnn cnn-classification convolutional-neural-networks deep-neural-networks dl llm machine-learning melanoma-detection ml neural-networks nn python python-script torch torchvision

Last synced: 25 Jan 2025