mini-batch-gradient-descent

There are 0 repository under mini-batch-gradient-descent topic.

gyrdym / ml_algo
Machine learning algorithms in Dart programming language
dartlang dart machine-learning linear-regression sgd stochastic-gradient-descent batch-gradient-descent mini-batch-gradient-descent machine-learning-algorithms algorithm lasso-regression logistic-regression softmax softmax-regression softmax-classifier softmax-algorithm regression hyperparameters data-science classifier
Language:Dart 197
aditya9211 / SVHN-CNN
Google Street View House Number(SVHN) Dataset, and classifying them through CNN
cnn grayscale-images svhn-classifier svhn convolutional-neural-networks computer-vision convolutional-neural-network house-numbers google-street confusion-matrix mnist dropout one-hot-encode tesnorflow machine-learning adam-optimizer mini-batch-gradient-descent tensorboard-visualizations
Language:Jupyter Notebook 63
bhattbhavesh91 / gradient-descent-variants
My implementation of Batch, Stochastic & Mini-Batch Gradient Descent Algorithm using Python
gradient-descent-methods gradient-descent-algorithm gradient-descent stochastic-gradient-descent batch-gradient-descent mini-batch-gradient-descent
Language:Jupyter Notebook 19
SSQ / Coursera-Ng-Improving-Deep-Neural-Networks-Hyperparameter-tuning-Regularization-and-Optimization
Short description for quick search
initialization gradient-check l2-regularization dropout mini-batch-gradient-descent exponentially-weighted-averages bias-correction momentum rmsprop adam-optimizer learning-rate-decay batch-normalization softmax-regression tensorflow
Language:Python 17
SSQ / Coursera-UW-Machine-Learning-Classification
Notebook for quick search
linear-classifiers logistic-regression coursera-course machine-learning university-of-washington decision-tree adaboost stochastic-gradient-descent mini-batch-gradient-descent
13
Coursera-Students-Community / Deep-Learning-Specialization
Coursera - Deep Learning Specialization - deeplearning.ai
coursera deep-learning deeplearning-ai andrew-ng recurrent-neural-networks convolutional-neural-networks neural-network neural-style-transfer tensorflow keras yolov3 classification-algorithims gradient-descent batch-normalization mini-batch-gradient-descent hyperparameter-tuning machine-learning-case-study
Language:HTML 8
ChanchalKumarMaji / Coursera-Deep-Learning-Specialization-deeplearning.ai
[Coursera] Deep Learning Specialization on Coursera
coursera deep-learning deeplearning-ai andrew-ng recurrent-neural-networks convolutional-neural-networks neural-network neural-style-transfer tensorflow keras yolov3 classification-algorithims gradient-descent batch-normalization mini-batch-gradient-descent hyperparameter-tuning machine-learning-case-study
Language:HTML 4
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
gradient-check gradient-descent stochastic-gradient-descent momentum rmsprop adam-optimizer mini-batch-gradient-descent dropout l2-regularization tensorflow hyperparameter-tuning batch-normalization
Language:Jupyter Notebook 4
aditya9211 / MNIST-Classification-with-NeuralNet
MNIST Handwritten Digits Classification using 3 Layer Neural Net 98.7% Accuracy
mnist-classification mnist-digits neural-nets neural-networks python backpropagation-learning-algorithm backpropagation sgd-optimizer stochastic-gradient-descent momentum mini-batch-gradient-descent deskew pca dimensionality-reduction artificial-neural-networks python2 mnist-handwriting-recognition image-classification
Language:Python 3
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
python multivariate-regression linear-regression machine-learning data-science gradient-descent stochastic-gradient-descent mini-batch-gradient-descent jupyter-notebook supervised-learning
Language:Jupyter Notebook 3
mahendranandi / Optimization-Algorithm
For learning, visualizing and understanding the optimization techniques and algorithms.
optimization optimization-algorithms gradient-descent sgd mini-batch-gradient-descent visualization convex-optimization saddle-point machine-learning-algorithms deep-learning-algorithms
Language:Jupyter Notebook 3
MoinDalvs / Gradient_Descent_For_beginners
Gradient_descent_Complete_In_Depth_for beginners
adagrad adam-optimizer back-propagation gradient-descent hyperparameter-optimization hyperparameter-tuning mini-batch-gradient-descent momentum nadam optimization optimization-methods optimizer rmsprop stochastic-gradient-descent
Language:Jupyter Notebook 3
NvsYashwanth / machinelearningmaster
All about machine learning
gradient-descent learning-rate regression linear-regression logistic-regression machine-learning scikit-learn matplotlib numpy documentation tutorial explanation regularization-methods polynomial-regression learning-curves batch-gradient-descent mini-batch-gradient-descent stochastic-gradient-descent ridge-regression lasso-regression
Language:Jupyter Notebook 3
SawyerAlston / MNIST-NN-Pure-Math
A "from-scratch" 2-layer neural network for MNIST classification built in pure NumPy, featuring mini-batch gradient descent, momentum, L2 regularization, and evaluation tools — no ML libraries used.
confusion-matrix deep-learning l2-regularization machine-learning mini-batch-gradient-descent mlp-classifier mnist neural-network numpy
Language:Python 3
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.
deep-learning convolutional-neural-networks image-classification regularization batch-normalization gradient-checking optimization mini-batch-gradient-descent rmsprop adam-optimizer convergence bias-variance object-detection yolo residual-networks neural-style-transfer
Language:Jupyter Notebook 2
longtng / Stochastic-Gradient-Descent
The laboratory from CLOUDS Course at EURECOM
python spark cloud-computing stochastic-gradient-descent batch-gradient-descent mini-batch-gradient-descent
Language:HTML 2
lucassa3 / PEGASOS-SVM-CLASSIFIER
Implementation of a support vector machine classifier using primal estimated sub-gradient solver in C++ and CUDA for NVIDIA GPUs
support-vector-machine support-vector-machines pegasos gpu cuda mini-batch-gradient-descent kernel
Language:Jupyter Notebook 2
mstrand1 / Jax-logistic-regression
Logistic regression using JAX to support GPU acceleration
jax jit vmap logistic-regression classification machine-learning gradient-descent mini-batch-gradient-descent
Language:Jupyter Notebook 2
annieyan / Stochastic_dual_coordinate_ascent
classify mnist datasets using ridge regression, optimize the algorithem with SGD, stochastic dual coordinate ascent, and mini-batching
stochastic-gradient-descent dual-coordiate-ascent mnist-classification ridge-regression pca gaussian-kernel mini-batch-gradient-descent
Language:Python 1
AsmaaEssamSultan / Optimization-Techniques-from-scratch
adagrad adam-optimizer gradient-descent linear-regression mini-batch-gradient-descent momentum-optimization-algorithm multivariate-regression nag-optimizer rmsprop stocahstic
Language:Jupyter Notebook 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
neural-networks tensroflow regularization mini-batch-gradient-descent
Language:Python 1
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
ad-targeting batch-gradient-descent demographics logistic-regression mini-batch-gradient-descent stochastic-gradient-descent
Language:Jupyter Notebook 1
ehtisham-sadiq / Numerical-optimization-algorithms-in-Machine-Learning
Exploring and Implementing Numerical Optimization Algorithms in Machine Learning, with Python code and mathematical insights.
gradient-descent mathematics mini-batch-gradient-descent python3 machine-learning
Language:Jupyter Notebook 1
hager51 / Numerical-Optimization
Numerical Optimization for Machine Learning & Data Science
adagrad adam-optimizer batch-gradient-descent machine-learning matplotlib mini-batch-gradient-descent momentum-optimization-algorithm nag-optimizer numpy pandas python rmsprop stochastic-gradient-descent
Language:Jupyter Notebook 1
itsmesatwik / deep-learning
Various methods for Deep Learning, SGD and Neural Networks.
neural-network stochastic-gradient-descent mini-batch-gradient-descent deep-learning
Language:Python 1
jnclink / Custom-NN
Custom implementation of a neural network from scratch using Python
backpropagation deep-learning from-scratch gradient-descent handwritten-digit-recognition mini-batch-gradient-descent mnist neural-network python jupyter-notebook machine-learning neural-network-classifier neural-networks multilayer-perceptron
Language:Python 1
lam1aa / Intent-classification-with-FNN
Implementation of a Feedforward Neural Network for intent classification using only Python and NumPy. The model classifies user intents from text input using the Sonos NLU Benchmark dataset.
backpropagation feedforward-neural-network mini-batch-gradient-descent relu softmax stochastic-gradient
Language:Jupyter Notebook 1
BasicDNN
mmaric27 / BasicDNN
Generic L-layer 'straight in Python' fully connected Neural Network implementation using numpy.
deep-neural-network python numpy l-layer-neural-network sigmoid relu leaky-relu tanh softmax gradient-descent mini-batch-gradient-descent adam-optimizer momentum-optimization-algorithm l2-regularization drop-out-layer weights-initialization xavier-initializer he-initializer fully-connected-network neural-network
Language:Python 1
niaj-a / Machine-Learning
Your all-in-one Machine Learning resource – from scratch implementations to ensemble learning and real-world model tuning. This repository is a complete collection of 25+ essential ML algorithms written in clean, beginner-friendly Jupyter Notebooks. Each algorithm is explained with intuitive theory, visualizations, and hands-on implementation.
classification-algorithm machine-learning machine-learning-algorithms regression-algorithms batch-gradient-descent classification-metrics gradient-descent-algorithm lasso-regression-model lasso-regularization mini-batch-gradient-descent multiple-linear-regression-model polynomial-regression regression-metrics regularization-techniques ridge-regression-model ridge-regularization simple simple-linear-regression stochastic-gradient-descent
Language:Jupyter Notebook 1
nisheethjaiswal / ROLLING-DOWN-A-CROWDED-VALLEY-OF-OPTIMIZERS-DEVELOPMENTS-FROM-SGD
Deep Learning Optimizers
optimizers deep-learning sgd-optimizer mini-batch-gradient-descent stochastic-gradient-descent nestrov sgd-momentum nestrov-accelereated-gradient adagrad rmsprop adadelta adam-optimizer adamax n-adam amsgrad adabelief visualizing-optimizers
Language:HTML 1
Sayed-Hossein-Hosseini / Mountaineers_in_Search_of_the_Global_Minimum
Two mountaineers search for the global minimum of a cost function using different approaches. One represents Stochastic Gradient Descent, taking small, random steps, while the other follows Batch Gradient Descent, making precise moves after full evaluation. This analogy illustrates key optimization strategies in machine learning.
batch-gradient-descent machine-learning mini-batch-gradient-descent noise stochastic-gradient-descent
Language:Jupyter Notebook 1
shulavkarki / ANN-Scratch-In-MnsitDigit
ANN Classifier built from scratch used to classify MNIST Digit.
gradient-descent machine-learning numpy pandas python gradient-descent-momentum mini-batch-gradient-descent
Language:Jupyter Notebook 1
SRI-PRIYAN / MachineLearning
Implementing ML Algorithms using Python and comparing with Standard Library functions
linear-regression logistic-regression machine-learning gradient-descent mini-batch-gradient-descent
Language:Jupyter Notebook 1
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. 🌊🔮
gradient-descent-algorithm pyspark python adam-optimization data-analysis data-science machine-learning mini-batch-gradient-descent stochastic-gradient-descent adagrad-approach bold-driver-approach full-batch-gradient-descent rmsprop-approach
Language:Jupyter Notebook 1
WHMHammer / robust-mini-batch-gradient-descent
Robust Mini-batch Gradient Descent models
gradient-descent machine-learning mini-batch-gradient-descent robustness
Language:Python 1
Raafat-Nagy / Implementations_of_ML_and_DL_Optimizers
This repository provides implementations of numerical optimization algorithms for machine learning and deep learning. It includes clear explanations, mathematical formulas, Python code, and visualizations to help understand the behavior of each optimizer.
adagrad adam-optimizer batch-gradient-descent deep-learning gradient-descent machine-learning mini-batch-gradient-descent momentum-optimization-algorithm nestrov-accelereated-gradient rmsprop stocastic-gradient-descent
Language:Jupyter Notebook

mini-batch-gradient-descent

gyrdym / ml_algo

aditya9211 / SVHN-CNN

bhattbhavesh91 / gradient-descent-variants

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

SSQ / Coursera-UW-Machine-Learning-Classification

Coursera-Students-Community / Deep-Learning-Specialization

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

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

aditya9211 / MNIST-Classification-with-NeuralNet

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

mahendranandi / Optimization-Algorithm

MoinDalvs / Gradient_Descent_For_beginners

NvsYashwanth / machinelearningmaster

SawyerAlston / MNIST-NN-Pure-Math

flowstateeng / Coursera-Deep-Learning

longtng / Stochastic-Gradient-Descent

lucassa3 / PEGASOS-SVM-CLASSIFIER

mstrand1 / Jax-logistic-regression

annieyan / Stochastic_dual_coordinate_ascent

AsmaaEssamSultan / Optimization-Techniques-from-scratch

chen-bowen / Deep_Neural_Networks

DeepraMazumder / Social-Network-Ads-Prediction-Analysis

ehtisham-sadiq / Numerical-optimization-algorithms-in-Machine-Learning

hager51 / Numerical-Optimization

itsmesatwik / deep-learning

jnclink / Custom-NN

lam1aa / Intent-classification-with-FNN

mmaric27 / BasicDNN

niaj-a / Machine-Learning

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

Sayed-Hossein-Hosseini / Mountaineers_in_Search_of_the_Global_Minimum

shulavkarki / ANN-Scratch-In-MnsitDigit

SRI-PRIYAN / MachineLearning

tejaswidabas123 / albalone-age-prediction

WHMHammer / robust-mini-batch-gradient-descent

Raafat-Nagy / Implementations_of_ML_and_DL_Optimizers