mini-batch-gradient-descent | Topic

Topic: "mini-batch-gradient-descent"

gyrdym/ml_algo

Machine learning algorithms in Dart programming language

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aditya9211/SVHN-CNN

Google Street View House Number(SVHN) Dataset, and classifying them through CNN

Language: Jupyter Notebook - Size: 1.02 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 58 - Forks: 34

bhattbhavesh91/gradient-descent-variants

My implementation of Batch, Stochastic & Mini-Batch Gradient Descent Algorithm using Python

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SSQ/Coursera-Ng-Improving-Deep-Neural-Networks-Hyperparameter-tuning-Regularization-and-Optimization

Short description for quick search

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SSQ/Coursera-UW-Machine-Learning-Classification

Notebook for quick search

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MoinDalvs/Gradient_Descent_For_beginners

Gradient_descent_Complete_In_Depth_for beginners

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ChanchalKumarMaji/Coursera-Deep-Learning-Specialization-deeplearning.ai

[Coursera] Deep Learning Specialization on Coursera

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DunittMonagas/Improving-Deep-Neural-Networks-Hyperparameter-tuning-Regularization-and-Optimization

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

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kaustubholpadkar/Predicting-House-Price-using-Multivariate-Linear-Regression

Predicting House Price from Size and Number of Bedrooms using Multivariate Linear Regression in Python from scratch

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mahendranandi/Optimization-Algorithm

For learning, visualizing and understanding the optimization techniques and algorithms.

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mstrand1/Jax-logistic-regression

Logistic regression using JAX to support GPU acceleration

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flowstateeng/Coursera-Deep-Learning

A five-course specialization covering the foundations of Deep Learning, from building CNNs, RNNs & LSTMs to choosing model configurations & paramaters like Adam, Dropout, BatchNorm, Xavier/He initialization, and others.

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longtng/Stochastic-Gradient-Descent

The laboratory from CLOUDS Course at EURECOM

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aditya9211/MNIST-Classification-with-NeuralNet

MNIST Handwritten Digits Classification using 3 Layer Neural Net 98.7% Accuracy

Language: Python - Size: 9.77 KB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 2 - Forks: 3

jnclink/Custom-NN

Custom implementation of a neural network from scratch using Python

Language: Python - Size: 3.74 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

DeepraMazumder/Social-Network-Ads-Prediction-Analysis

A Machine Learning project to predict user interactions with social network ads using demographic data to optimize ad targeting

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bradleyboyuyang/Gradient-Descent

Gradient descent with SGD, RMSprop, AdaGrad, and Adam

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shulavkarki/ANN-Scratch-In-MnsitDigit

ANN Classifier built from scratch used to classify MNIST Digit.

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AsmaaEssamSultan/Optimization-Techniques-from-scratch

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SRI-PRIYAN/MachineLearning

Implementing ML Algorithms using Python and comparing with Standard Library functions

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hager51/Numerical-Optimization

Numerical Optimization for Machine Learning & Data Science

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mustafahakkoz/Advertisement-CTR-Prediction

A submission for HUAWEI - 2020 DIGIX GLOBAL AI CHALLENGE

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nisheethjaiswal/ROLLING-DOWN-A-CROWDED-VALLEY-OF-OPTIMIZERS-DEVELOPMENTS-FROM-SGD

Deep Learning Optimizers

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itsmesatwik/deep-learning

Various methods for Deep Learning, SGD and Neural Networks.

Language: Python - Size: 20.1 MB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 0

lucassa3/PEGASOS-SVM-CLASSIFIER

Implementation of a support vector machine classifier using primal estimated sub-gradient solver in C++ and CUDA for NVIDIA GPUs

Language: Jupyter Notebook - Size: 37.4 MB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 1

chen-bowen/Deep_Neural_Networks

This project explored the Tensorflow technology, tested the effects of regularizations and mini-batch training on the performance of deep neural networks

Language: Python - Size: 13.6 MB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 1

annieyan/Stochastic_dual_coordinate_ascent

classify mnist datasets using ridge regression, optimize the algorithem with SGD, stochastic dual coordinate ascent, and mini-batching

Language: Python - Size: 10.7 KB - Last synced at: over 1 year ago - Pushed at: almost 8 years ago - Stars: 1 - Forks: 2

YousefAlaaAli/Gradient-descent

A practical comparison of gradient descent algorithms to predict student performance using study and lifestyle data, with visual analysis.

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gkrusta/dslr

Language: Python - Size: 2.16 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

pngo1997/Neural-Network-Implementation-Evaluation

Implements the NNDL book's "network.py" code (Chapter 1) to improve its functionality and performance.

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Khushi130404/Gradient_Realm

Gradient_Realm is a Python project exploring regression techniques and optimization methods like Regularization, Batch, Stochastic, and Mini-batch Gradient Descent. It uses scikit-learn and custom implementations for hands-on learning.

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lam1aa/Intent-classification-with-FNN

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AmbreenMahhoor/What-Is-Gradient-Descent-And-Its-Variants

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LukasFiala0/Gradient_descents

Optimalization – finding parameters of linear regression using various algorithms

Language: Python - Size: 315 KB - Last synced at: 11 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

Udacity-MachineLearning-Internship/Mini-Batch-Gradient-Descent

Implementing mini batch gradient descent using sckit-learn

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NILAY2233/Machine_Learning--Learning-Gradient-Descent-optimization-technique

Gradient Descent is a technique used to fine-tune machine learning algorithms with differentiable loss functions. It's an open-ended mathematical expression, tirelessly calculating the first-order derivative of a loss function and making precise parameter adjustments.

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MohammadYasinKarbasian/Machine-Learning-Homeworks

This repository contains my solutions and implementations for assignments assigned during the Machine Learning course.

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tejaswidabas123/albalone-age-prediction

🐚 Abalone Age Prediction: Dive into Data, Surf on Insights! 📊 Unleash the power of predictive analytics on abalone age estimation! From meticulous data exploration to a showdown of optimization methods, this repo is your gateway to accurate age predictions using physical measurements using Pysaprk. 🌊🔮

Language: Jupyter Notebook - Size: 3.11 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0