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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: 3 days ago - Pushed at: 3 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: 15 days ago - Pushed at: 15 days 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: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 0

mbmahiout/ising

Ising models and kinetic Ising models applied to calcium imaging recordings from mouse area M2.

Language: Jupyter Notebook - Size: 130 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

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: 4 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: 4 months ago - Pushed at: 4 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: 12 months ago - Pushed at: 12 months 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

Language: Jupyter Notebook - Size: 1.47 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

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: about 1 year ago - Pushed at: about 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: about 2 months ago - Pushed at: about 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: 3 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.

Language: Jupyter Notebook - Size: 27.3 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 2.78 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

Baha2rM98/Chest-Xray

Human Data Analytics (Optional Project)

Language: Jupyter Notebook - Size: 2.13 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

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

Language: Jupyter Notebook - Size: 532 KB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 2 - Forks: 1

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: 18 days ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

7990satyam200/Deep-Learning---DeepLearning.ai

Implementation of Deep Neural Networks

Language: Jupyter Notebook - Size: 49.4 MB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0

Related Keywords
shallow-neural-network 25 deep-learning 9 deep-neural-networks 6 image-classification 4 python 4 logistic-regression 4 neural-networks 4 deep-neural-network 3 data-science 3 machine-learning-algorithms 3 machine-learning 3 neural-network 3 cnn-classification 2 transfer-learning 2 supervised-learning 2 classification 2 fashion-mnist-dataset 1 stochastic-gradient-descent 1 matplotlib 1 medical-imaging 1 pandas 1 seaborn 1 computer-vision 1 approximation-theory 1 greedy-algorithms 1 microfluidics 1 matlab 1 image-analysis 1 high-throughput-screening 1 fluorescence-microscopy-imaging 1 end-to-end 1 digital-holographic-microscopy 1 tensorflow 1 numpy 1 machine-learning-coursera 1 deeplearning-ai 1 coursera-machine-learning 1 coursera-assignment 1 andrew-ng-course 1 tensorflow2 1 sgd 1 nn 1 mushrooms 1 mushroom 1 keras-tensorflow 1 binary-classification 1 resnet-50 1 densenet 1 deep-convolutional-networks 1 support-vector-machine 1 recurrent-neural-network 1 random-forest 1 multinomial-logistic-regression 1 mnist-handwriting-recognition 1 knn-classification 1 convolutional-neural-network 1 libreria 1 library 1 clanguage 1 c 1 jupyter-notebook 1 2d-chemical-descriptors 1 unsupervised-learning 1 statistical-learning 1 physics 1 neuro 1 ising 1 calcium-imaging-analysis 1 neural-collapse 1 kernel-methods 1 adaptive-kernels 1 image-processing 1 covid-19 1 adaptive-histogram-equalization 1 research-project 1 eeg 1 class-balanced-loss 1 capstone-project 1 convolutional-neural-networks 1 computational-imaging 1 cancer-research 1 automation 1 3d-imaging 1 under-sampling 1 support-vector-classifier 1 random-forest-classifier 1 imbalanced-data 1 gradient-boosting-classifier 1 experimental 1 colab-notebook 1 activation-function 1 vgg16-model 1 elm-architecture 1 cnn-architecture 1 caffenet 1 ae 1 neural-networks-from-scratch 1 reteneurale 1 perceptron-neural-networks 1 neuralnetworks 1