mini-batch-gradient-descent

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

tensorflow dropout batch-normalization momentum gradient-descent hyperparameter-tuning l2-regularization rmsprop stochastic-gradient-descent adam-optimizer mini-batch-gradient-descent gradient-check

UpdatedJan 11, 2019
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ChanchalKumarMaji /Coursera-Deep-Learning-Specialization-deeplearning.ai

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[Coursera] Deep Learning Specialization on Coursera

UpdatedJan 22, 2019
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MoinDalvs /Gradient_Descent_For_beginners

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Gradient_descent_Complete_In_Depth_for beginners

optimization optimizer hyperparameter-optimization momentum gradient-descent optimization-methods hyperparameter-tuning adagrad rmsprop stochastic-gradient-descent back-propagation adam-optimizer mini-batch-gradient-descent nadam

UpdatedAug 27, 2022
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kaustubholpadkar /Predicting-House-Price-using-Multivariate-Linear-Regression

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

python data-science machine-learning linear-regression jupyter-notebook supervised-learning gradient-descent multivariate-regression stochastic-gradient-descent mini-batch-gradient-descent

UpdatedMay 12, 2018
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SawyerAlston /MNIST-NN-Pure-Math

Star3

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.

machine-learning deep-learning neural-network numpy mnist confusion-matrix l2-regularization mini-batch-gradient-descent mlp-classifier

UpdatedJul 9, 2025
Python

aditya9211 /MNIST-Classification-with-NeuralNet

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

python neural-networks pca mnist-classification dimensionality-reduction image-classification artificial-neural-networks momentum backpropagation-learning-algorithm python2 backpropagation neural-nets stochastic-gradient-descent deskew mini-batch-gradient-descent mnist-handwriting-recognition mnist-digits sgd-optimizer

UpdatedApr 8, 2018
Python

NvsYashwanth /machinelearningmaster

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All about machine learning

documentation machine-learning tutorial numpy linear-regression scikit-learn regression logistic-regression matplotlib gradient-descent ridge-regression polynomial-regression explanation learning-rate stochastic-gradient-descent lasso-regression batch-gradient-descent mini-batch-gradient-descent learning-curves regularization-methods

UpdatedOct 4, 2020
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mahendranandi /Optimization-Algorithm

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

visualization optimization machine-learning-algorithms sgd deep-learning-algorithms gradient-descent optimization-algorithms convex-optimization mini-batch-gradient-descent saddle-point

UpdatedJun 9, 2022
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lucassa3 /PEGASOS-SVM-CLASSIFIER

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

kernel gpu cuda support-vector-machine support-vector-machines pegasos mini-batch-gradient-descent

UpdatedJun 13, 2018
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mstrand1 /Jax-logistic-regression

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Logistic regression using JAX to support GPU acceleration

machine-learning jit classification logistic-regression gradient-descent vmap mini-batch-gradient-descent jax

UpdatedNov 12, 2021
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longtng /Stochastic-Gradient-Descent

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The laboratory from CLOUDS Course at EURECOM

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UpdatedFeb 25, 2019
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flowstateeng /Coursera-Deep-Learning

Sponsor

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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 optimization convergence batch-normalization yolo image-classification regularization convolutional-neural-networks object-detection residual-networks rmsprop bias-variance adam-optimizer mini-batch-gradient-descent neural-style-transfer gradient-checking

UpdatedApr 26, 2019
Jupyter Notebook

niaj-a /Machine-Learning

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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.

machine-learning simple machine-learning-algorithms polynomial-regression gradient-descent-algorithm stochastic-gradient-descent classification-algorithm batch-gradient-descent mini-batch-gradient-descent regression-algorithms simple-linear-regression lasso-regression-model lasso-regularization ridge-regression-model multiple-linear-regression-model regularization-techniques regression-metrics classification-metrics ridge-regularization

UpdatedJul 22, 2025
Jupyter Notebook

itsmesatwik /deep-learning

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Various methods for Deep Learning, SGD and Neural Networks.

deep-learning neural-network stochastic-gradient-descent mini-batch-gradient-descent

UpdatedJun 24, 2019
Python

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gyrdym /ml_algo

aditya9211 /SVHN-CNN

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

SawyerAlston /MNIST-NN-Pure-Math

aditya9211 /MNIST-Classification-with-NeuralNet

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mahendranandi /Optimization-Algorithm

lucassa3 /PEGASOS-SVM-CLASSIFIER

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