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

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

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

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

[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.

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.

Implementing ML Algorithms using Python and comparing with Standard Library functions

Various methods for Deep Learning, SGD and Neural Networks.