Series
Geometric Deep Learning Library Comparison
This article covers an in-depth comparison of different geometric deep learning libraries, including PyTorch Geometric, Deep Graph Library, and Graph Nets.
By
David Dodel
By
David Dodel
Neural Architecture Search Part 2: Search Space, Architecture Design and One-Shot Training
This tutorial covers a step-by-step walkthrough of coding neural architecture search for multilayer perceptrons in Python with Keras.
By
Anuj Sable
Building an App for Eye Filters with PoseNet
In this tutorial we'll use the pretrained PoseNet model to detect keypoints of the human body in an Android app.
Understanding GauGAN Part 4: Debugging Training & Deciding If GauGAN Is Right For You
In this post we cover how to tackle common training issues that may arise with GauGAN. We conclude with advice on whether GauGAN will fit your business needs or not.
Understanding GauGAN Part 3: Model Evaluation Techniques
In Part 3 of the GauGAN series we cover how to evaluate model performance, and how GauGAN compares to models like Pix2PixHD, SIMS, and CRN.
Understanding GauGAN Part 2: Training on Custom Datasets
In this article we cover how to train GauGAN on your own custom dataset. This is part of a series on Nvidia GauGANs.
Understanding GauGAN Part 1: Unraveling Nvidia's Landscape Painting GANs
In this article we explain what GauGANs are, and how their architecture and objective functions work. This is part of a series on Nvidia GauGANs.
