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James Montantes
  • Male
  • Santa Clara, CA
  • United States
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James Montantes's blog post was featured

The Most Important Fundamentals of PyTorch you Should Know

Fundamentals of PyTorch – IntroductionSince it was introduced by the Facebook AI Research (FAIR) team, back in early 2017, PyTorch has become a highly popular and widely used Deep Learning (DL) framework. Since the humble beginning, it has caught the attention of serious AI researchers and practitioners around the world, both in industry and academia, and has matured significantly over the years.Scores of DL enthusiasts and professionals started their journey with the Google TensorFlow (TF),…See More
May 24
Andreas Psimopoulos liked James Montantes's blog post Which Face is Real? Applying StyleGAN to Create Fake People
May 1
James Montantes's blog post was featured

Which Face is Real? Applying StyleGAN to Create Fake People

A Generative model aims to learn and understand a dataset’s true distribution and create new data from it using unsupervised learning. These models (such as StyleGAN) have had mixed success as it is quite difficult to understand the complexities of certain probability distributions. In order to sidestep these roadblocks, The Adversarial Nets Framework was created whereby the generative model is pitted against an adversary: a discriminative model that learns to determine whether a sample is from…See More
Apr 30
James Montantes updated their profile
Jan 29

Profile Information

Company:
Exxact Corporation
Job Title:
Product Marketing Specialist
Seniority:
Technical
Job Function:
Data Science, Machine Learning, Deep Learning
Industry:
IT Infrastructure
Short Bio:
James Montantes currently works for Exxact Corporation. They are a leading provider of accelerated systems for deep learning, molecular dynamics, and other HPC applications. Aside from performing various marketing activities, he conducts GPU benchmarks for deep learning, and train deep neural networks using Exxact systems. He has about 15 years of experience in market research, product development, and prototyping. Has has held many roles from marketing to systems engineering, and his current technology interests include: human-machine interfaces (HMI), deep learning/AI research, and distributed consensus networks.
LinkedIn Profile:
http://www.linkedin.com/in/jamesmontantes
Interests:
Contributing, Networking

James Montantes's Blog

Which Face is Real? Applying StyleGAN to Create Fake People

Posted on April 29, 2020 at 11:00am 0 Comments

A Generative model aims to learn and understand a dataset’s true distribution and create new data from it using unsupervised learning. These models (such as StyleGAN) have had mixed success as it is quite difficult to understand the complexities of certain probability distributions. 

In order to sidestep these roadblocks, The Adversarial Nets Framework was created whereby the generative model is pitted against an adversary: a discriminative model that…

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