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.
Machine Learning and Deep Learning - Cool Example Codes!
Bigger is Better. Or is it? Lessons learned from applying a deep neural network to Twitter posts in order to estimate potentials of using big data to monitor the UN Sustainable Development Goals -- Masters Thesis @GIUB/University of Bern, by Benjamin Schüpbach
다층 퍼셉트론 MFC 구현 예제
Research on deep learning approaches to predict Airbnb tenant prices from publicly available dataset
A CNN model predicts pneumonia through analysing chest X-ray images.
Keras runtime visualisation.
This Repository contains basic programs on Deep Learning and fewer parts of Computer Vision too.
Implementation of DNN with Early Stopping from scratch in Python. Evaluation was done on two simple datasets (Blobs and Moons) and on one more challenging dataset (Fashion-MNIST).
Classifies the given X-Ray image under any one of the following categories: Normal, Pneumonia, Covid-19, Tuberculosis.
Ted's self built deep neural network framework
Detects whether a News Article is fake or not
Implementation of a Deep Neural Architecture to perform real-time semantic segmentation of forest fires in aerial imagery captured by drones.
Fully Convolutional Deep Neural Network with Segmentation
Only for my study purpose. The solutions to the latest problems as of 2020 summer.
Predicting patient attendance at Bay Clinic using 'medicalcentre.csv'. Employing SVM, Decision Trees, and DNN models for accuracy, sensitivity, specificity evaluation, and ROC analysis. Part of a Data Science course in my master's program at the University of Ottawa 2023.
Deep Learning Head Pose Estimation using PyTorch
Implementation of game-ai that used AlphaGo's algorithm. The game-ai beats both humans and MCTS algorithm with a high winning rate.