Machine learning algorithms in Dart programming language

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

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

Short description for quick search

Notebook for quick search

Coursera - Deep Learning Specialization - deeplearning.ai

Gradient_descent_Complete_In_Depth_for beginners

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

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

All about machine learning

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

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

The laboratory from CLOUDS Course at EURECOM

Logistic regression using JAX to support GPU acceleration

[Coursera] Deep Learning Specialization on Coursera

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.

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

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

Various methods for Deep Learning, SGD and Neural Networks.

Numerical Optimization for Machine Learning & Data Science