Topic: shallow-neural-network Goto Github
Some thing interesting about shallow-neural-network
Some thing interesting about shallow-neural-network
shallow-neural-network,Implementation of Deep Neural Networks
User: 7990satyam200
shallow-neural-network,In recent times, toxicological classification of chemical compounds is considered to be a grand challenge for pharma-ceutical and environment regulators. Advancement in machine learning techniques enabled efficient toxicity predic-tion pipelines. Random forests (RF), support vector machines (SVM) and deep neural networks (DNN) are often ap-plied to model the toxic effects of chemical compounds. However, complexity-accuracy tradeoff still needs to be ac-counted in order to improve the efficiency and commercial deployment of these methods. In this study, we implement a hybrid framework consists of a shallow neural network and a decision classifier for toxicity prediction of chemicals that interrupt nuclear receptor (NR) and stress response (SR) signaling pathways. A model based on proposed hybrid framework is trained on Tox21 data using 2D chemical descriptors that are less multifarious in nature and easy to calcu-late. Our method achieved the highest accuracy of 0.847 AUC (area under the curve) using a shallow neural network with only one hidden layer consisted of 10 neurons. Furthermore, our hybrid model enabled us to elucidate the inter-pretation of most important descriptors responsible for NR and SR toxicity.
User: abdulk084
shallow-neural-network,High-throughput detection and enumeration of tumor cells in blood using Digital Holographic Microscopy (DHM) and Deep Learning.
User: anivader
shallow-neural-network,Human Data Analytics (Optional Project)
User: baha2rm98
shallow-neural-network,A Python-based Machine Learning repository for the purpose of developing and testing a type of Shallow Deep Networks.
User: calmendares1
shallow-neural-network,A shallow CNN model that is trained on X-ray chest images with preprocessing step of adaptive histogram equalization.
User: electricalgorithm
shallow-neural-network,Libreria didattica per la creazione, addestramento e test di reti neurali fino a tre strati in linguaggio C
User: francescosisini
shallow-neural-network,
User: jagtapuday
shallow-neural-network,study of scene classification with different MLP layer types
User: jaysontian
shallow-neural-network,Logistic Regression Implementations - ML, Shallow NN and Enhanced Deep Neural Network for Structured and Unstructured Data Classification
User: kalyani011
shallow-neural-network,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).
User: kostadin-georgiev97
shallow-neural-network,This is a classifier for classifying the planar data with one hidden layer.
User: krokette29
shallow-neural-network,Deep learning Specialization on Coursera
User: lexust1
shallow-neural-network,Credit Fraud Detection of a highly imbalanced dataset of 280k transactions. Multiple ML algorithms(LogisticReg, ShallowNeuralNetwork, RandomForest, SVM, GradientBoosting) are compared for prediction purposes.
User: myliemudaliyar
shallow-neural-network,Car Price Prediction is a machine learning project aimed at developing a model that can predict the selling price of used cars based on various features or attributes.
User: omaradlii
shallow-neural-network,Predicting if a mushroom is edible or poisonous with a shallow neural network with Keras and TensorFlow 2.
User: simonefinelli
shallow-neural-network,Build logistic regression, neural network models for classification
User: ssq
shallow-neural-network,Notebooks of programming assignments of Neural Networks and Deep Learning course of deeplearning.ai on coursera in August-2019
User: subangkar
shallow-neural-network,Challenge of shallow neural network approximation with one-dimensional input.
User: sukiboo
shallow-neural-network,Source code for the numerical experiments presented in the paper "Greedy Shallow Networks: An Approach for Constructing and Training Neural Networks".
User: sukiboo
shallow-neural-network,[BMVC'23 Oral] Offical repository of "Rethinking Transfer Learning for Medical Image Classification"
Organization: sun-umn
shallow-neural-network,
User: the-oathbreaker
shallow-neural-network,Design of an one hidden layer neural network using numpy only,
User: theroyakash
shallow-neural-network,This project encompasses a range of neural and non-neural model implementations to classifiy MNIST digits. The goal is to compare the performance of each technique including details of hyper-parameters, training ans testing errors, training and testing duration and additional parameters used in the analysis.
User: victoriaporter58
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