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

[Coursera] Deep Learning Specialization on Coursera

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_descent_Complete_In_Depth_for beginners

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

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.

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

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

All about machine learning

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

Logistic regression using JAX to support GPU acceleration

The laboratory from CLOUDS Course at EURECOM

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.

Implementing ML Algorithms using Python and comparing with Standard Library functions

Various methods for Deep Learning, SGD and Neural Networks.