Humanities students can now enter data science and AI without an engineering degree. Here’s a clear roadmap to start your tech journey ...

This project features an autoencoder model trained to encode, compress, and decode hand-written digits. There are two files, model_functions.py which contains the functions and structure of the model.

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

I like Anime, Chess, Deep Learning, Mathematics and Programming. NumPy is a Python library that is mainly used to work with arrays. An array is a collection of items that are stored next to each other ...

This repository contains a neural network implementation and tensor operations written from scratch in Go. It is inspired by the book Neural Networks from Scratch by Harrison Kinsley (Sentdex) and ...