Pytorch

This is a part of the series of blog posts related to Artificial Intelligence Implementation. If you are interested in the background of the story or how it goes: This week, we will explore the combined capabilities of SerpApi’s powerful Google Images Results Scraper API on top of FastAPI’s…

For Movie Recommendation — Introduction: Recommender systems are used to filter and show a set of choices from a big set of data so that the user can easily make decisions which otherwise he might not have a chance to explore. They are used in many online sites ( amazon,netflix etc) , where there is…

Approximating Black Scholes Pricing PDE and its boundary conditions for Options using a Physics-Informed Neural Network known as the Deep Galerkin Method. References: DGM: A deep learning algorithm for solving partial differential equations Physics Informed Deep Learning Solving Nonlinear and High-Dimensional Partial Differential Equations via Deep Learning Table of Contents: Introduction Background and Motivation

This is a part of the series of blog posts related to Artificial Intelligence Implementation. If you are interested in the background of the story or how it goes: This week, we will explore the combined capabilities of SerpApi’s powerful Google Images Results Scraper API on top of FastAPI’s…

This is a part of the series of blog posts related to Artificial Intelligence Implementation. If you are interested in the background of the story or how it goes: This week, we will explore the combined capabilities of SerpApi’s powerful Google Images Results Scraper API on top of FastAPI’s…

This is a part of the series of blog posts related to Artificial Intelligence Implementation. If you are interested in the background of the story or how it goes: This week, we will explore the combined capabilities of SerpApi’s powerful Google Images Results Scraper API on top of FastAPI’s…

How do Neural Nets Work? — Neural Networks have been eminent among machine learning algorithms for more than a decade. They have achieved wonders in numerous tasks in various domains. However, there have always been questions about how they actually work. Neural Networks can fit any training data. It tries to learn a mapping between the…

Authors: Fan Zhao, Jiong Gong, Eikan Wang Intel engineers have been continuously working in the PyTorch open-source community to get PyTorch run faster on Intel CPUs. On top of that, Intel® Extension for PyTorch* is an open-source PyTorch extension that brings about user experience enhancement and helps users to achieve…