Фреймворк для построения нейронных сетей, комитетов, создания агентов с параллельными вычислениями.
-
Updated
Aug 18, 2020 - C++
Фреймворк для построения нейронных сетей, комитетов, создания агентов с параллельными вычислениями.
Logistic Regression technique in machine learning both theory and code in Python. Includes topics from Assumptions, Multi Class Classifications, Regularization (l1 and l2), Weight of Evidence and Information Value
Short description for quick search
A deep learning project using fine-tuned RoBERTa to classify mental health sentiments from text, aiming to provide early insights and support. ⚕️❤️
The given information of network connection, model predicts if connection has some intrusion or not. Binary classification for good and bad type of the connection further converting to multi-class classification and most prominent is feature importance analysis.
Regularized Logistic Regression
Analysis of the robustness of non-negative matrix factorization (NMF) techniques: L2-norm, L1-norm, and L2,1-norm
Modifiable neural network
Wrapper on top of liblinear-tools
Centralized Disaster Response and Inventory Management System that leverages AI and Google Cloud Technologies to predict disasters, optimize resource management, and provide real-time coordination.
Curso Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization. Segundo curso del programa especializado Deep Learning. Este repositorio contiene todos los ejercicios resueltos. https://www.coursera.org/learn/neural-networks-deep-learning
An OOP Deep Neural Network using a similar syntax as Keras with many hyper-parameters, optimizers and activation functions available.
Water and lipid signal removal in MRSI by L2 regularization (submitted by Liangjie Lin)
PyTorch implementation of important functions for WAIL and GMMIL
Simple Demo to show how L2 Regularization avoids overfitting in Deep Learning/Neural Networks
A simple python repository for developing perceptron based text mining involving dataset linguistics preprocessing for text classification and extracting similar text for a given query.
Satellite imagery provides unique insights into various markets, including agriculture, defense and intelligence, energy, and finance. New commercial imagery providers, such as Planet, are using constellations of small satellites to capture images of the entire Earth every day. This flood of new imagery is outgrowing the ability for organization…
Deep Learning Course | Home Works | Spring 2021 | Dr. MohammadReza Mohammadi
The aim was to create and implement a predictive model that can forecast the number of items sold for a period of 8 weeks ahead.
Add a description, image, and links to the l2-regularization topic page so that developers can more easily learn about it.
To associate your repository with the l2-regularization topic, visit your repo's landing page and select "manage topics."