만들면서 배우는 파이토치 딥러닝

Original Source Here 파이토치는 텐서플로우와 함께 양대 산맥으로 굳건히 자리 잡고 있어서 이미 여러 가지 책이 나와있다. 분야에 무관하게 대부분이 입문서에 가까운데 이 책은 기본적인 걸 익힌 사람들을 위해 좀 더 심화학습을 제공하려는 목적으로 써졌다. 책의 목차를 보면… Continue reading on Medium » AI/ML Trending AI/ML Article Identified & Digested via Granola by Ramsey Elbasheer;Continue reading “만들면서 배우는 파이토치 딥러닝”

After Billions of Dollars and Turing Awards we now know: if ‘Julia is alive’, then ‘Samantha can’t…

Original Source Here This is a very short post — I just saw my fingers type… Will be back shortly with two important (slightly more technically inclined posts) Continue reading on ONTOLOGIK » AI/ML Trending AI/ML Article Identified & Digested via Granola by Ramsey Elbasheer; a Machine-Driven RSS Bot

Arçelik hosts global AWS DeepRacer League using new LIVE feature to educate over 200 employees on machine learning

Original Source Here This is a guest post by Pınar Köse Kulacz, Innovation Director at Arçelik. Arçelik, the leading global manufacturer of household appliances, has collaborated with AWS since 2019 to increase efficiency and innovate on new services. Here at Arçelik, we believe that data and artificial intelligence provide a critical advantage over competitors inContinue reading “Arçelik hosts global AWS DeepRacer League using new LIVE feature to educate over 200 employees on machine learning”

Demystified: Wasserstein GANs (WGAN)

Original Source Here Demystified: Wasserstein GANs (WGAN) What is the Wasserstein distance? What is the intuition behind using Wasserstein distance to train GANs? How is it implemented? Fig. 1: Optimal discriminator and critic when learning to differentiate two Gaussians[1]. In this article we will read about Wasserstein GANs. Specifically we will focus on the following:Continue reading “Demystified: Wasserstein GANs (WGAN)”