Deep Learning with Yacine on MSN

Adadelta Optimizer From Scratch in Python – Step-by-Step Tutorial

Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind ...
Deep Learning with Yacine on MSN

Backpropagation from Scratch in Python – Step by Step Neural Network Tutorial

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding ...
InfoWorld

7 newer data science tools you should be using with Python

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your ...
cpajournal

Automating Data Analysis with Python Dashboards

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...
GitHub

Pull requests: Ophelie-Renaud/ddfacet-dft-fft-g2g-tutorials

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.
GitHub

This is the shared package to simulate pulse propagation in a (solid-core) fiber amplifier with UPPE incorporated with the transient rate-equation gain.

This is by far the fastest and most memory-saving transient-gain model in the world due to the field-based treatment [1]. Note I've been modifying the code to make it user-friendly since it was ...