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mini-batch-gradient-descent

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

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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
  • Updated Jan 11, 2019
  • Jupyter Notebook

aditya9211 / MNIST-Classification-with-NeuralNet

Star 3

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
  • Updated Apr 8, 2018
  • Python

flowstateeng / Coursera-Deep-Learning

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Star 2

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
  • Updated Apr 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
  • Updated Jul 22, 2025
  • Jupyter Notebook

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