GitHub topics: shallow-neural-network
BarneelRay/EEG_Capstone
This is a project that is derived from my capstone project targeted for cleaning of EEG signals and feature extraction followed by a custom made neural network and analysis of performance by the Network mainly for classifying the valence of an emotion.
Language: Jupyter Notebook - Size: 14 MB - Last synced at: 27 days ago - Pushed at: 28 days ago - Stars: 1 - Forks: 0
electricalgorithm/NCLAHE-ShallowCNN-COVID19
A shallow CNN model that is trained on X-ray chest images with preprocessing step of adaptive histogram equalization.
Language: Python - Size: 253 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 1
kvignesh1420/shallow_nc1
[NeurReps 2024, TMLR 2025] Can Kernel Methods Explain How the Data Affects Neural Collapse?
Language: Python - Size: 231 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 3 - Forks: 0
mbmahiout/ising
Ising models and kinetic Ising models applied to calcium imaging recordings from mouse area M2.
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Abdulk084/HybridTox2D
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.
Language: Jupyter Notebook - Size: 545 MB - Last synced at: 3 days ago - Pushed at: almost 6 years ago - Stars: 10 - Forks: 6
francescosisini/ReLe
Libreria didattica per la creazione, addestramento e test di reti neurali fino a tre strati in linguaggio C
Language: C - Size: 1.72 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 8 - Forks: 0
RoopkumarD/nn_in_c
Learning C and overoptimising
Language: C - Size: 140 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
Almas105/Cervical_Cancer_Detection_Using_Deep_Learning_Techniques
In this project, we propose a cervical cancer detection and classification system using CNNs . We employ transfer learning and fine-tuning for enhanced performance. Classifiers like ELM and AE are added to increase the efficiency.
Language: Python - Size: 8.79 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
Xage0424/Comparative-Analysis-of-Activation-Functions-in-Shallow-Neural-Networks-for-Multi-Class-Image
Comparative Analysis of Activation Functions in Shallow Neural Networks for Multi-Class Image Classification Using MNIST Digits and CIFAR-10 Datasets with Fixed Architectural Parameters
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MylieMudaliyar/Credit-Card-Fraud-Detection
Credit Fraud Detection of a highly imbalanced dataset of 280k transactions. Multiple ML algorithms(LogisticReg, ShallowNeuralNetwork, RandomForest, SVM, GradientBoosting) are compared for prediction purposes.
Language: Jupyter Notebook - Size: 305 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
Jaysontian/scenic-v2
study of scene classification using shallow ML models
Language: Python - Size: 150 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
Anivader/HoloScreen-onco
High-throughput detection and enumeration of tumor cells in blood using Digital Holographic Microscopy (DHM) and Deep Learning.
Language: MATLAB - Size: 75.2 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
sukiboo/sgn
Source code for the numerical experiments presented in the paper "Greedy Shallow Networks: An Approach for Constructing and Training Neural Networks".
Language: Python - Size: 30.3 KB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 10 - Forks: 0
sukiboo/nn_approximation_challenge
Challenge of shallow neural network approximation with one-dimensional input.
Language: Python - Size: 17.6 KB - Last synced at: 4 months ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
sun-umn/TTL
This is our project blog page: Rethink Transfer Learning in Medical Image Classification
Language: Python - Size: 9.62 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 1
kostadin-georgiev97/deep-neural-network-from-scratch
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).
Language: Jupyter Notebook - Size: 29.6 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
OmarAdlii/Car-Price-Prediction
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.
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victoriaporter58/Machine-learning-techniques-for-recognising-handwritten-digits
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.
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Baha2rM98/Chest-Xray
Human Data Analytics (Optional Project)
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simonefinelli/Mushrooms
Predicting if a mushroom is edible or poisonous with a shallow neural network with Keras and TensorFlow 2.
Language: Jupyter Notebook - Size: 97.7 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1
SSQ/Coursera-Ng-Neural-Networks-and-Deep-Learning
Build logistic regression, neural network models for classification
Size: 21.3 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 50 - Forks: 34
Subangkar/Neural-Networks-and-Deep-Learning-deeplearning.ai-Coursera-Assignments
Notebooks of programming assignments of Neural Networks and Deep Learning course of deeplearning.ai on coursera in August-2019
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calmendares1/rsdn
A Python-based Machine Learning repository for the purpose of developing and testing a type of Shallow Deep Networks.
Size: 13.7 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0
theroyakash/shallow_neural_network
Design of an one hidden layer neural network using numpy only,
Language: Python - Size: 24.4 KB - Last synced at: 9 days ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0
7990satyam200/Deep-Learning---DeepLearning.ai
Implementation of Deep Neural Networks
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