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

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

Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, ...
Semiconductor Engineering

ONNX And Python To C++: State-Of-The-Art Graph Compilation

How a NPU programming model can boost the ability to port new models onto state-of-the-art embedded silicon.
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 ...
TheServerSide

Create your first Python AWS Lambda function in minutes

Community driven content discussing all aspects of software development from DevOps to design patterns. Ready to develop your first AWS Lambda function in Python? It really couldn’t be easier. The AWS ...
Beebom

How to Build Your Own AI Chatbot With ChatGPT API: A Step-by-Step Tutorial

In a breakthrough announcement, OpenAI recently introduced the ChatGPT API to developers and the public. Particularly, the new “gpt-3.5-turbo” model, which powers ChatGPT Plus has been released at a ...
GitHub

nsidc/smap_python_notebooks

A collection of Jupyter notebooks demonstrating how to utilize Python for downloading and visualizing Soil Moisture Active Passive (SMAP) data. These notebooks were originally provided to NSIDC by ...
GitHub

deep-learning-tutorial

Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.