Custom implementation of a neural network from scratch using Python

Implementing mini batch gradient descent using sckit-learn

Gradient Descent is a technique used to fine-tune machine learning algorithms with differentiable loss functions. It's an open-ended mathematical expression, tirelessly calculating the first-order derivative of a loss function and making precise parameter adjustments.

Implementation of Artificial Neural Network from Scratch using Python and Jupyter Notebook

This repository contains my solutions and implementations for assignments assigned during the Machine Learning course.

Machine learning algorithms in Dart programming language

🐚 Abalone Age Prediction: Dive into Data, Surf on Insights! 📊 Unleash the power of predictive analytics on abalone age estimation! From meticulous data exploration to a showdown of optimization methods, this repo is your gateway to accurate age predictions using physical measurements using Pysaprk. 🌊🔮

This GitHub repository explores the importance of MLP components using the MNIST dataset. Techniques like Dropout, Batch Normalization, and optimization algorithms are experimented with to improve MLP performance. Gain a deeper understanding of MLP components and learn to fine-tune for optimal classification performance on MNIST.

Exploring and Implementing Numerical Optimization Algorithms in Machine Learning, with Python code and mathematical insights.

Tugas besar pembelajaran mesin mini batch gradient descent

a fully connected neural-network implemented in python using numpy, with an option to save run as a JSON file. Network uses mini-batch gradient-descent

🥼Clothes Classification, Artificial Intelligence course, University of Tehran

Gradient_descent_Complete_In_Depth_for beginners

I implemented a CNN to train and test a handwritten digit recognition system using the MNIST dataset. I also read the paper “Backpropagation Applied to Handwritten Zip Code Recognition” by LeCun et al. 1989 for more details, but my architecture does not mirror everything mentioned in the paper. I also carried out a few experiments such as adding…

ANN Classifier built from scratch used to classify MNIST Digit.

Robust Mini-batch Gradient Descent models

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